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Robot, Take the Wheel: The Road to Autonomous Cars and the Lost Art of Driving

by Jason Torchinsky  · 6 May 2019  · 175pp  · 54,755 words

Beau Boeckmann, President and Chief Operating Officer of Galpin Motors Why would an automobile dealer be asked to write a foreword for a book about autonomous vehicles, which some people say will cause an automobile industry apocalypse? Great question. I think it has something to do with the fact that Jason

an enthusiast and someone whose career is on the line, I can honestly say that I am excited about our autonomous automotive future. As consumers, autonomous vehicles will bring us choices. Taxis and public transportation will be revolutionized. The car business and dealers are going to need to adapt. I’m geeked

portable phones, we’re talking about autonomous cars—but we’re still imagining the future the same way: like now, but better. If portable phones have taught us anything, it’s that we’re really bad at predicting where new technologies will lead us. Most automakers developing autonomous vehicles, which is pretty much every

think some things through. Don’t worry. It’ll be fun. Chapter 1 We’ve Been Here Before For all the excitement and hype surrounding autonomous vehicles, it’s worth remembering that, for most of the history of mankind, we’ve been using vehicles that were capable of full autonomy. We call

’re not in a position to enjoy such traits. Once autonomous cars start to become common, we will be passengers, and our nearly two-century-long experiment in mechanical body enhancement as personal transportation could come to an end. As passengers in autonomous vehicles, we won’t have the opportunity any longer to experience

programmable machine, capable of executing a stored set of instructions for a very short journey. That, at least in a very simple sense, is an autonomous vehicle. Da Vinci never actually produced his cart, but a replica based on his original drawings was built in 2004 by Paolo Galluzzi, director of the

need some degree of clutch actuation. The thing seemed to work generally well enough for a proof of concept, and in the overall scope of autonomous vehicles the American Wonder proved that motors, servos (automatic devices with some form of error-sensing and correction), and similar mechanisms could be used to actuate

we replace those radio signals from a human with signals from onboard cameras, sensors, and computers, you’ve effectively got the basics of how modern autonomous vehicles are built. One fascinating footnote to this has to do with the inventor’s name: Houdina. As you probably already noticed, that name is an

other autopilot systems, and Mike proved to be remarkably reliable. Mechanical Mike and other early gyro-based autopilot systems are significant in the development of autonomous vehicles because they represent the very first time a fully mechanical vehicular control system was trusted enough to transport passengers. The wide use of the Mechanical

ability to “see” its environment, detect obstacles, and take steps to avoid them. This was the birth of nearly all computer vision systems employed by autonomous vehicles (and, really, any robot that uses some manner of camera-based synthetic vision) today. By 1964 the cart had been re-outfitted with a low

was hugely influential, and laid the template for AVs to follow. 2004: The DARPA Grand Challenge If there was one final crucible that truly made autonomous vehicles a viable, achievable possibility, it had to be the DARPA Grand Challenge. The Grand Challenge was a project run by the US Department of Defense

Mellon’s team won with a very modified Chevy Tahoe named “Boss.”²³ The Grand Challenge victory in 2004 can be seen as the moment that autonomous vehicles graduated from the laboratory and went into the real world. The Grand Challenge victory by Stanford was one of the first times the mainstream public

became aware of all the research into autonomous vehicles, and the first time many people and businesses saw that autonomous cars weren’t just some weird, bubble-top painting from a Popular Mechanics they sort of remembered seeing on their uncle

low speeds. They bounce ultrasonic sound waves off objects to determine how close you are to them. These don’t have much use in fully autonomous vehicles, but they do help a car understand its environment, so they’re worth a mention. Automatic parallel parking systems use them, so there are

and even things like potholes and manhole covers in the road. Lidar units are also the most likely things to really challenge designers of future autonomous vehicles, since they require a high vantage point and an unobstructed 360-degree view. That’s why lidar units are most commonly seen as domed objects

image of a car’s surroundings can require significantly less processing time than a camera image, which translates to a faster response time for the autonomous vehicle. Lidar is still a relatively new technology, and as such it’s still not cheap; preparing lidar systems to withstand the brutal life of

and other gleefully geeky stuff like that. It’s not a trivial problem, but there are many viable solutions. GPS is also the technology that autonomous vehicles will use to report their locations back to any number of possible organizations: local law enforcement, your insurance provider, the carmaker who built the car

where more than three toppings are specified, for example. Really, the more information available to cars on the road, the better, and communication will allow autonomous vehicles to act as parts of a self-modifying system to maintain optimal traffic flow and, ideally, eliminate many of the traffic issues that so annoy

theoretically, be outfitted with a unit that sends such information as speed, throttle position, steering angle, and GPS location, all of which would help surrounding autonomous vehicles prepare themselves for the presence of the loon whipping a sixty-year-old Volkswagen around the streets. Self-Driving Cars Don’t Really Get to

washer systems are usually good enough to deal with weather and a bit of dirt, and some cars have similar wiper/washer systems for headlamps. Autonomous vehicles will likely utilize similar systems, like washer nozzles for radar or camera windows, or a sort of wiper “ring” for lidar domes, or . . . something.

would splash in your face to make it even harder. It’s likely that any safety standards for autonomous cars will include a set of standards for sensor cleaning and/or protecting systems. Really, autonomous vehicles will need to be self-aware. This isn’t the sort of self-awareness that leads to your

-lidar-tech-autonomous-vehicles/. 31 Dwivedi, Priya, “Tracking a self-driving car with high precision,” Towards Data Science, April 30, 2017, https://towardsdatascience.com/helping-a-self-driving-car-localize-itself-88705f419e4a. 32 Kichun Jo; Yongwoo Jo; Jae Kyu Suhr; Ho Gi Jung; Myoungho Sunwoo, “Precise Localization of an Autonomous Car Based on Probabilistic

would have a facility with some number of specially trained remote drivers in front of what would essentially be fancy driving-simulation rigs. When an autonomous vehicle determines it cannot continue, it would contact the remote driving facility, and the car’s controls would be patched to a remote driver’s terminal

biggest advantage and disadvantage. Yes, their deployment on public roads provides a lot of data that will undoubtedly help the development of future, more advanced autonomous vehicles, but even so there’s a lot of debate about whether deploying these cars in the public realm unwittingly makes drivers on public roads participants

and the way they’re understood in popular culture: in both cases, as far more capable systems than they actually are. There are no fully autonomous vehicles currently available for purchase—arguably, some prototype test vehicles exist that could be considered fully autonomous, at least in some controlled circumstances. Sure, if you

a prosthetic extension of our human bodies. It’s a physical thing we control with our bodies. An autonomous car is decidedly not that. We will all ride in autonomous cars, not drive them. Fully autonomous vehicles won’t ask anything of us other than to provide an end destination and not do anything crazy like

to go.” That sounds a hell of a lot like Uber, which, of course, is conducting a lot of research into autonomous vehicles. The emphasis on safety as the primary justification for autonomous car development is something we see a lot of today. Even though there are many reasons why people may desire an

awareness vehicles, mapping vehicles, food delivery and/or vending trucks, and so many other ideas I’ve yet to think of. Really, the most useful autonomous vehicle in your life could end up being the one you’ll never ride in. * * * 46 “Do We Need Asimov’s Laws?” MIT Technology Review,

begin to address the truly autonomous nature of robotic vehicles. If we assume that all of the current hurdles and bugs and issues regarding how autonomous vehicles can drive without running into things are solved, there’s still the question of exactly how these cars will behave, and how we will react

dark thoughts about a robotic-vehicle future; a 2017 report from the United Kingdom’s UCL Transport Institute titled Social and Behavioral Questions Associated with Autonomous Vehicles⁶⁶ explored many of these same ideas, and in one section even described a robot-vehicle trapping scenario in detail, in the form of an imagined

serious concerns raised by a wide range of motoring and consumer group organisations (see LTT passim). These relate to the vulnerability of occupants of fully autonomous vehicles following a series of high profile vehicle-jackings and personal muggings in wealthy, low-density areas at night—throwing into question the whole idea of

of computers and phones and spy cams and internet-­connected refrigerators generally work. But we’d be foolish to think that hacking of connected and autonomous vehicles won’t happen. Because it will. Really, the only absolute fail-safe solutions we may be able to use are physical; big, obvious buttons

anything could be possible. In terms of more mainstream entertainment and culture, it’s interesting to note that we’ve had many popular works involving autonomous vehicles for decades and decades. For whatever reason, the 1960s seemed to spawn a lot of the more famous examples of this genre, starting with Ian

, anyway. * * * 65 Torchinsky, Jason, “Here’s How to Prank Autonomous Cars When They Come,” Jalopnik, July 25, 2013, https://jalopnik.com/heres-how-to-prank-autonomous-cars-when-they-come-874123410. 66 Cohen, Tom; Jones, Peter; and Cavoli, Clemence, Social and Behavioural Questions Associated with Autonomous Vehicles, Scoping Study by UCL Transport Institute, Final Report, London

stages, it may prove helpful for robotic vehicles to make their presence very obvious. With this in mind, something like a federally mandated external robotic/autonomous vehicle warning lamp could prove effective. It may sound a bit like I’m paranoid about a massive robo-car uprising and I want to be

as well? If human-driven cars broadcast such information on the same vehicle-to-vehicle network that all the connected robotic cars are using, those autonomous vehicles could be made aware of the fact that there are, say, six human-driven cars around me, so I should be aware that these vehicles

operation may be restricted in a number of ways. While we’re still not exactly sure how insurance and responsibility for accidents will work for autonomous vehicles—is the carmaker at fault? The company that produced the software? The makers of the individual components? The owner/passenger?—we do know how

don’t see any reasonable way around that. There’s also the fact that no matter what happens with economies of scale or technological innovations, autonomous vehicles will require increasingly more complex hardware to work than human-driven cars, and as such will be more expensive. In areas where car sharing or

human-driven cars, if not in the United States, perhaps in countries with lower standards of living. There are also circumstances and situations where an autonomous vehicle wouldn’t make sense; certain utility vehicles and trucks, for example, that don’t operate on set routes but are used more as mules or

for there to be “robotic chauffeurs” that could be retrofitted into human-driven cars—even extremely old ones—so they could be driven autonomously. If autonomous vehicles become truly widespread, it’s possible that knowing how to drive might be uncommon enough that even people with vintage car collections may not know

.com/a-mix-of-human-driven-and-robot-cars-on-the -road-will-p-1791978251. 69 Governor’s Highway Safety Association, “Driver Behavior Paramount as Autonomous Vehicles Introduced,” New Release, February 2, 2017, https://www.ghsa.org/resources/av17-release. 70 Valeii, Kathi, “Kids Aren’t Taking Driver’s Ed Anymore,”

We Are as Gods: A Survival Guide for the Age of Abundance

by Peter H. Diamandis and Steven Kotler  · 13 Apr 2026  · 225pp  · 76,418 words

central technologies fueling today’s age of abundance. In 2012 when we wrote Abundance, we predicted a future for these technologies that included everything from autonomous cars and flying cars to autonomous robots and delivery drones. It really was a prediction of transportation abundance—the safer, cleaner, and cheaper movement of goods

and people than ever before in history. Today, our prediction is reality. Thanks to the power of convergence, there are over thirty autonomous car companies, and nearly every major retailer has robots running their warehouses. Flying car companies are operational in the Middle East and Asia, and companies like

and lie-detection systems expose deception and flag danger before it erupts. Protection Miracles Biometric security systems guard people and property. Body armor, exoskeletons, and autonomous vehicles enhance safety and prevent injury. Wearables and rescue drones summon help and save lives in emergencies. Air-defense networks and engineered barriers—tsunami walls, surge

created global wealth. And that’s today. Tomorrow, consider the two technologies we examined in the previous chapter: AI and robotics. Today, warehouse robots and autonomous cars are remaking manufacturing and transportation. Tomorrow, these same capabilities will democratize healthcare and education, serving rich and poor alike. Labor markets will be transformed by

is undergoing a sea change of its own. The electric vehicle (EV) uprising predicted in Abundance became over fifty million cars on the road today. Autonomous vehicles are another part of the story. In 2011, Steven took one of the first autonomous joyrides in history, tooling around the Stanford campus in the

an organ, whether donated or manufactured; it makes no difference. Second, Rothblatt is working with the eVTOL (flying car) company BETA on an AI-piloted, autonomous vehicle-based organ delivery service—like Zipline, only for human body parts. Third, a robo-surgeon assists with the organ transplant for increased visualization and control

Jensen Huang, March 2024; Chris Re et al., “Scaling Laws for Foundation Models,” Stanford CRFM Report, 2023, https://crfm.stanford.edu/2023/ScalingLaws. over thirty autonomous car companies: “Autonomous Driving’s Future: Convenient and Connected,” McKinsey, January 6, 2023, https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/autonomous-drivings-future

/earth-day-with-aerofarms-a-look-at-vertical-farmings-environmental-impact/. A decade later, autonomous taxis operate: “Autonomous Vehicles: Timeline and Roadmap Ahead,” World Economic Forum, white paper, April 2025, https://reports.weforum.org/docs/WEF_Autonomous_Vehicles_2025.pdf. Tesla’s Waymo competition, Cybercab: Eric Stafford and Elana Scherr, “Tesla Robotaxi Is a

Cities Under Siege: The New Military Urbanism

by Stephen Graham  · 30 Oct 2009  · 717pp  · 150,288 words

develop ‘technology that will keep warfighters off the battlefield and out of harm’s way’.127 It was ‘the first time in history that truly autonomous vehicles met and (mostly) avoided each other on the open road’.128 The event required that competing teams build vehicles capable of driving autonomously in traffic

. To ramp up the challenge, thirty manned vehicles also roamed the course. Urban Challenge was truly groundbreaking, declared DARPA, as it was ‘the first time autonomous vehicles have interacted with both manned and unmanned vehicle traffic in an urban environment’.129 Thirty-five teams from twenty-two US states entered the competition

Challenge presentations of Stanford University’s entry. Whilst driverless cars are unlikely to become available to consumers until 2030 at the earliest, the Urban Challenge robocars are already being displayed at car shows, billed as a way to ‘fortify road safety and eliminate driver error as the most common cause of

Mellon University in Pittsburgh, and both have been the target of a jamming campaign (Figure 10.13). (In Chapter 9 we already encountered NREC: its ‘robocar’ was the winner of DARPA’s 2007 Urban Challenge competition.) The Carnegie Mellon campaign, labelled ‘Barricade the War Machine’, is challenging the take-over of

The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence

by Sebastian Mallaby;  · 30 Mar 2026  · 607pp  · 161,998 words

be in Google’s interests, after all. The “bet” option was for moon shots unrelated to Google’s core business, he said—projects such as autonomous cars or the science of life extension. Artificial intelligence did not belong in that bucket. To the contrary, AI was destined to become strategically important to

confronted Brockman with a proposal that recalled Pichai’s pitch: OpenAI should spin into Tesla. Initially, OpenAI’s team could accelerate Tesla’s development of autonomous vehicles. Next, it could use the profits from self-driving cars to fund its AGI moon shot. “Tesla is the only path that could even hope

Life as a Passenger: How Driverless Cars Will Change the World

by David Kerrigan  · 18 Jun 2017  · 472pp  · 80,835 words

to my family, and my friends who bought my first book, encouraged me to finish this one, and put up with me talking incessantly about robocars for the last few years….especially Aideen, David, Caroline, Lorraine, Simon, Kim, Johanna, Susan, Sylvia, Fergal, Gregg, Sinead, Gabrielle B., Adam, Ian, Abhi, Andy, Peter

economic upheaval that driverless vehicles could unleash over the coming decades is unparalleled in modern times. According to a comprehensive report from Morgan Stanley,[2] autonomous vehicles can contribute $1.3 trillion annually to the U.S. economy in a base case scenario. Anything which has that much potential influence is surely

on their laptops, eating meals, reading books, watching movies, and/or calling friends from the comfort of a car– safely. Yet, the imminent proliferation of autonomous vehicles is far from guaranteed. High costs of some of the technologies required will, initially at least, hamper large-scale production and mass consumer availability. Complex

proven so baffling just a year earlier. And just two years later, in 2007, six teams finished the new DARPA Urban Challenge, with the participating Autonomous Vehicles (AV) required to obey traffic rules, deal with blocked routes and manoeuvre around fixed and moving obstacles, together providing realistic, everyday urban driving scenarios. Learning

would an acceptable probability be? Would we make a manoeuvre that had a less than 100% likelihood of safe completion? 80%? 60%? And of course, robocars will make astonishingly accurate and rational decisions. Whether or not that is always a good thing will be discussed in more detail in Chapter 6

requiring that a driver takes manual control some of the time, in certain situations or is at least available to take control. The nomenclature around autonomous vehicles and self-driving cars can be confusing - not least because (and not without precedent for new technologies), there are two different scales being widely used

its driverless cars technology, including its vehicle platform, hardware platform, software platform and cloud data services, freely available to others, particularly car manufacturers, to develop autonomous vehicles.[120] A Baidu driverless car prototype. Photo courtesy Baidu. Disruption? While the interest of technology companies in driverless cars has grabbed the headlines, it’s

beyond car ownership. But for car companies, the on-demand ride market is just a first step toward a more radically altered future dominated by autonomous vehicles. In a report in 2016, investment bank Morgan Stanley said the motor industry was being disrupted “far sooner, faster and more powerfully than one might

that conventional carmakers would scramble in the coming years to reinvent themselves.[186] Brian Johnson, Director of Equity Research at Barclays Capital,[187] says that autonomous vehicles shared across family and community lines will displace much of the current fleet of privately owned cars. Annual auto sales in the United States could

cars. They concluded that automation can substantially reduce energy consumption and carbon emissions but that these benefits could be nullified by greater travel due to autonomous vehicles. A breakdown of the components contributing to energy consumption (both reductions and increases) is shown here: Gas Stations & Maintenance As we examine the use of

, in practical terms, it represents about twice the amount of time Americans already spend on Facebook, an attention-based company worth around $350 billion. When autonomous vehicles become available at scale, the car will transform from just a mode of transportation into a new-age entertainment hub, with captive consumers surrounded by

Scania have begun the first full-scale autonomous truck platooning in Singapore where the two companies are testing a fleet of trucks composed of three autonomous vehicles following a human-driven one.[261] In June 2017, Waymo announced that it was beginning testing of their driverless technology on trucks.[262] Daimler, which

questions of timing and the extent of the impacts, both positive and negative. The sheer magnitude of a full transition from human-driven vehicles to autonomous vehicles requires the detailed consideration of a vast array of potential issues, many of which will require complex and creative solutions that may also prove very

the trolley will save five lives, we shouldn't do it because we would be actively killing one. In their paper on Implementable Ethics for Autonomous Vehicles,[295] Gerdes & Thornton contend that the behavior of the vehicle and its control algorithms will ultimately be judged not by statistics or test track performance

robot to obey human commands cannot override the First Law. Thus, the need to protect human life outweighs the priority given to human commands. All autonomous vehicles with which the authors are familiar have an emergency stop switch or “big red button” that returns control to the driver when desired. The existence

human would do in the same situation. It’s said that in the moments before an inevitable crash, for those involved, time slows. For a robocar, relative to humans, everything is in slow motion. It can meticulously review the situation in milliseconds and make rational decisions. The notion that human drivers

among multiple people, it is harder for someone to want to put work into modifying a vehicle. There is no doubt that the implementation of autonomous vehicles will hurt the culture and economy around personal car modification. “The one thing that unites all human beings, regardless of age, gender, religion, economic status

clear that regulators will be receiving widely varying advice as they craft their legislation: Rand Corporation’s Center for Decision Making: It seems sensible that autonomous vehicles should be allowed on America’s roads when they are judged safer than the average human driver, allowing more lives to be saved and sooner

. The starting point was to require special driver’s license endorsements for anyone operating an autonomous or semi-autonomous car requiring, that the driver take lessons and tests on the capabilities and limits of the autonomous vehicle, as well as how to take over control in an emergency. Other recommendations include state limitations on

currently evolving: California has led the way, with the most companies testing driverless cars in the Golden State. As of April 2017, DMV has issued Autonomous Vehicle Testing Permits to 30 separate entities[329]. The DMV also require that the driverless car manufacturers submit system disengagement reports and accident reports. Although disengagement

collective knowledge and experience of the system. New York's Upstate Transportation Association (UTA) and Independent Drivers Guild (IDG) are both pressing for bans on autonomous vehicles in the state, out of concern that they'll ultimately cost thousands of transportation jobs. The IDG believes that it only needs to preserve existing

state has tried to create a progressive/permissive framework that allows autonomous technology on public roads, including testing of platoons and on-demand fleets of autonomous vehicles, there’s a protectionist element (also seen in Tennessee), where the wording reserves the right to operate on-demand robo-fleets for “motor vehicle manufacturers

few years may be the most important in automotive regulation history, as federal and state authorities work out their response to the impending arrival of autonomous vehicles. Regulators must try to tackle the safety, operational and privacy/cybersecurity questions blocking the technology’s way; as its creators lobby and play states off

soured by crashed computers, unintelligible error messages or unresponsive machines. The acceptance of driverless cars will be largely a matter of trust - do people trust robocars to be on the roads? Ironically, despite the demonstrable and consistent behaviour of robots, many people are inherently nervous of them. How do we react

doesn’t. You need to tread carefully about this because if in writing some article that is negative you are effectively dissuading people from using autonomous vehicles, you are killing people” Elon Musk, CEO, Tesla Media coverage is under the spotlight worldwide as never before after allegations of fake news, echo bubbles

cars has often been sensationalist (both negative and positive) rather than genuinely analytical or even just informative. I don’t think the fact that the robocars (which are by all accounts still years away from use) needed occasional intervention is worthy of a headline like the BBC used: “Google’s self

characterised them in the familiar terms of the past, using the only frame of reference with which they were comfortable. Similarly, most people think of autonomous vehicles simply as driverless cars, when in fact they potentially represent a revolutionary new form of transportation. But no matter how innovative, transformative or disruptive a

disposal to address world-changing issues and chose to delay action? Bryan Reimer, the associate director of the New England Transportation Center at MIT, says autonomous vehicles will change everything. "It changes how we move. It changes how packages are moved. It changes how we behave. It changes the future of old

-choose/?utm_term=.4d4d2f0dad4c http://philosophicaldisquisitions.blogspot.ie/2017/04/the-ethics-of-crash-optimisation.html https://www.wired.com/2017/03/make-us-safer-robocars-will-sometimes-kill/ http://www.wired.com/2016/06/self-driving-cars-will-power-kill-wont-conscience/?mbid=nl_6916 Tumbleweeds example coverage: http://www

-sports-car http://www.wired.com/2016/03/self-driving-cars-wont-work-change-roads-attitudes/?mbid=nl_31516 http://www.nlc.org/article/new-autonomous-vehicle-guide-helps-cities-prepare-for-a-driverless-future http://www.nctr.usf.edu/wp-content/uploads/2016/11/Implications-for-Public-Transit-of-Emerging-Technologies

-11-1-16.pdf http://globalpolicysolutions.org/wp-content/uploads/2017/03/Stick-Shift-Autonomous-Vehicles.pdf https://www.technologyreview.com/s/607841/a-single-autonomous-car-has-a-huge-impact-on-alleviating-traffic/ Chapter 7 - Regulation & Acceptance https://www.transportation.gov/AV/federal-automated-vehicles-policy

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-will-create-a-fight-over-zoning-and-land-use [201] http://urbanland.uli.org/economy-markets-trends/autonomous-vehicles-hype-potential/ [202] http://www.reuters.com/article/us-autos-autonomous-infrastructure-insig-idUSKCN0WX131 [203] Matthew E. Kahn, 1996. "The Efficiency and Equity of Vehicle

.com/articles/will-the-driverless-car-upend-insurance-1425428891 [230] https://www.kpmg.com/US/en/IssuesAndInsights/ArticlesPublications/Documents/automobile-insurance-in-the-era-of-autonomous-vehicles-survey-results-june-2015.pdf [231] https://static.nhtsa.gov/odi/inv/2016/INCLA-PE16007-7876.PDF [232] https://www.publications.parliament.uk/pa/bills

?PageNum=0&docid=09196164&IDKey=&HomeUrl=http%3A%2F%2Fpdfpiw.uspto.gov%2F [276] http://www.knightscope.com/ [277] https://www.starship.xyz/ [278] Pedestrians, Autonomous Vehicles, and Cities. Adam Millard-Ball. Journal of Planning Education and Research, October-27-2016 [279] https://en.wikipedia.org/wiki/Jaywalking [280] https://www.theguardian

-outlines-three-laws-of-robotics-for-self-driving-cars [291] http://moralmachine.mit.edu/ [292] https://www.researchgate.net/publication/301293464_The_Social_Dilemma_of_Autonomous_Vehicles [293] http://science.sciencemag.org/content/352/6293/1573 [294] https://www.wired.com/2016/06/self-driving-cars-will-power-kill-wont-conscience/ [295

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Apple: The First 50 Years

by David Pogue  · 10 Mar 2026  · 686pp  · 216,944 words

working toward an enhanced version of the electric cars already on the road, Ive wanted to create something that had never existed: a revolutionary, fully autonomous vehicle, with no steering wheel or pedals at all, only a joystick or touchscreen as backup. It could be a luxury living room on wheels. Some

. It was a critical crossroads for the project. The Titan executives presented Apple’s executive team with three options. They could continue developing a fully autonomous vehicle alone, in-house; partner with or buy Rivian to get cars on the road, and deliver full self-driving later; or develop self-driving software

. Silicon Valley was already a graveyard for failed electric-car startups: Canoo, Faraday, Byton, Zap, Aptera, and Better Place. Nobody had ever created a fully autonomous car. You can train AI to stop at red lights or stay in the lane on highways, but there are also thousands of judgment calls. How

storage on, 24, 24–26, 44–46 augmented reality (AR), 522–25 see also Vision Pro headset Australia, 517 autocomplete, iPhone, 406 autocorrect, 404, 406 autonomous vehicles, 497–98 A/UX operating system, 188 AV Foundation, 214 BabyMac prototype, 162 Back button, 404 Back Tap feature, 543 Baez, Joan, 459 Ballmer, Steve

, 305–7, 322–23, 344, 371 self-driving cars, 497–500 selfies, 384, 422, 526 sensors accelerometer, 480, 528, 543 Apple Watch, 527–28 for autonomous vehicles, 498 gyroscope, 480, 528, 543 iPhone, 412–13, 431 tilt sensor, iPhone, 412–13 Touch ID, 421, 431 see also heart sensing Sequoia Capital, 34

Autonomous Driving: How the Driverless Revolution Will Change the World

by Andreas Herrmann, Walter Brenner and Rupert Stadler  · 25 Mar 2018

and Sustainable Transportation at the University of Michigan, Ann Arbor, Michigan, USA Iain Forbes Head of the United Kingdom Government’s Centre for Connected and Autonomous Vehicles in the Department for Transport, London, United Kingdom Emilio Frazzoli, Dr. Founder and Chief Technical Officer, NuTonomy, Cambridge, Massachusetts, Professor of Dynamic Systems and

find the best, fastest or shortest route to that destination, taking traffic conditions into consideration. In the future, railroad companies may operate fleets of autonomous vehicles to supplement their existing services. ECOSYSTEM Autonomous driving not only involves technological challenges, but will also change the very essence of cars, which have been

about smart use of various mobility services. Megatrends in Mobility 29 K e y T a ke a w a y s The development of autonomous vehicles is inherent in social and technical megatrends, especially connectivity, urbanisation, sustainability, electrification and sharing. All of these trends promote autonomous mobility; and equally, autonomous

technology of autonomous driving helps to considerably extend the range of electric vehicles, enhancing their attractiveness and thus supporting the trend towards sustainable mobility. As autonomous vehicles are connected with the infrastructure, the Internet, one’s home and workplace, a large variety of information and communication services can be developed. Many

Audi and Mercedes as examples. Autonomous Driving 42 Box 5.1. Statement by Jan Becker Jan Becker, Senior Director, Faraday Future The development of autonomous vehicles requires the collaboration of companies with various skills. The Urban Challenge marked the transition from academic research to industrial development. Google started to work on

to play a role in the starting phase of autonomous driving (see Table 9.2 and Box 9.3 [113]). One category will be autonomous robocars, which will primarily be used in cities, to transport people from the railway station to their homes, for example. In conjunction with other modes of

a static, digital image of the surroundings. This includes guard rails, traffic lights, road signs and other solid objects that constitute reference points by which autonomous vehicles can navigate. This map also 102 Autonomous Driving includes a database with information on hotels, filling stations, shops, restaurants, etc. The second layer (live

combination with electric mobility and autonomous driving enables new vehicle concepts and architectures. In extreme cases, vehicle architectures are 124 Autonomous Driving possible for autonomous vehicles with limited requirements in terms of longitudinal and lateral dynamics that use just four motors for propulsion, braking and steering. The development towards autonomous driving

Statement by Markwart von Pentz Markwart von Pentz, President Agriculture and Turf, Europe, Asia, Africa, John Deere & Company Agricultural productivity can be significantly increased with autonomous vehicles (tractors, combine harvesters etc.). The development of self-driving tractors, combine harvesters and other vehicles is embedded in the precision farming system at John Deere

and can be equipped with cameras. TECHNOLOGY AND TELECOMMUNICATION COMPANIES Numerous technology companies have for some time now been developing software for the control of autonomous vehicles. For example, Google has equipped existing vehicles such as the Lexus with technology that makes autonomous driving possible. In addition, Google has been developing

on autonomous driving for politicians and to discuss dilemma situations. CHAPTER 16 PLAYERS In mid-2017, some 50 companies worldwide are currently working on developing autonomous vehicles with varying focuses and degrees of intensity. In addition to well-known names like Audi, Tesla, Mercedes or Google, numerous automotive suppliers and technology

models, and companies launch them with great euphoria and solid conviction. Especially when disruptive technologies that lead to radical product innovations are involved such as autonomous vehicles it is dangerous to underestimate the risk of developing something beyond what the market wants. The reason for this risk of failure is obvious,

experiences. The campaign generated 11 million social networking impressions, 5 million engagements on social networks, 11,000 videos posted and 15,000 tweets. If autonomous vehicles are to be positioned successfully, a content house will be needed to develop and generate information that is target-group appropriate and channel specific. After

a dangerous situation. Google and Facebook may succeed in keeping secret their algorithms for searching and sorting information, but this will not be possible with autonomous vehicles because of their safety relevance. It is therefore to be hoped that the authorities will look into those algorithms before vehicles receive type approval.

level of transparency does not prevent customers from using this technology extensively and revealing all kinds of private information. The situation could be similar with autonomous vehicles, which, despite an unresolved dilemma, take over the tedious task of driving and offer great convenience. Furthermore, they should significantly reduce the number of

a new technology is concerned. Participants were placed in a driving simulator that resembled either a normal car, an autonomous vehicle able to control its own steering and speed, or a comparable autonomous car augmented Autonomous Driving 292 Box 28.5. Statement by Nicholas Epley Nicholas Epley, John Templeton Keller Professor of Behavioural

analyses suggest amounts that lie between those scenarios. The figures vary so greatly because differing assumptions are made on what people want to do in autonomous vehicles. DATA CREATORS Irrespective of automated driving, vehicles are increasingly developing into information and communication platforms due to Internet connectivity. The data generated as of

to automated driving technology. In a parallel development, we can expect to see completely driverless cars in cities in the form of fleets of shared autonomous vehicles. Automated driving affects every aspect of the vehicle brakes, steering, and sensors powertrain, and creates additional requirements for vehicle connectivity. For automakers and suppliers,

in a significant reduction of the financing, maintenance, insurance and fuel costs. Some estimates suggest that compared to individually owned vehicles, the transport costs of robocars could be up to 10 times lower. In the United States, this would mean that an average family would save about $5,600 a year

would also fall. Apart from controlling the traffic flow, the traffic management centre could also intervene when the control system of an autonomous vehicle reaches its limits. Imagine that an autonomous car approaches another vehicle that has broken down and blocks the road. The continuous line in the middle tells the control system that

otherwise. In 2016, the US Department of Transportation issued national guidelines for driverless cars. These guidelines comprise outlines on how manufacturers can obtain approval for autonomous vehicles, handling of collected data and details for cyber security defence [95]. So far, eight states of the USA (Nevada, California, Florida, Louisiana, Michigan, North

self-driving cars on public roads. The US National Highway Traffic Safety Administration alone has earmarked $4 billion for improving the safety of automated and autonomous vehicles in the years ahead. Additional financial incentives are to be anticipated, since many state and federal government representatives frequently emphasise the financial and social

project is giving the authorities helpful information about how the infrastructure is developing in Sweden, which in turn is supporting Volvo’s efforts to develop autonomous vehicles. Competitiveness 371 In Finland, a multimodal transport app was presented that can quickly and easily provide information about the wide range of transportation options

different visions of the technological foundations. By contrast, the Chinese are currently developing a roadmap with the objectives of defining technical standards for automated and autonomous vehicles, standardising the infrastructure, and regulating communication among vehicles and with the infrastructure. By the time certain industrial standards have been clarified in the United

development. In many other countries such as the Netherlands, New Zealand and Japan, the national governments are in the process of issuing licenses for autonomous vehicles and adapting the corresponding legislation. Projects involving the development of control software for self-driving cars are also underway, additional autonomousdriving areas are being developed

to become major players in the automotive industry. In China, a roadmap is being created with the objectives of defining technical standards for automated and autonomous vehicles, designing a uniform infrastructure and regulating the communication between vehicles and the infrastructure. Furthermore, Singapore is making a name for itself as a test

lane markings and challenging weather conditions with fog and thunderstorms, the trip was completed without incident. The discussion about potential markets and schedules for launching autonomous vehicles is important because in the automotive industry, there is always a question of standardised architectures and platforms, which in turn is a question of

that what is needed is an intelligent link between different modes of transportation, including all kinds of car- and ride-sharing concepts. But rapidly implementing autonomous vehicles could ease the traffic situation as well, since throughput can be greatly increased. Urban Development 383 As a result, many car manufacturers are intently

modes of transport and would serve as reloading centres for goods. ESTABLISHING AUTONOMOUS MOBILITY AS AN INDUSTRY OF THE FUTURE The production and maintenance of autonomous vehicles means that manufacturers, suppliers and repair garages will require completely new expertise and occupations, as well as development of their existing capabilities. Car mechanics

behavioural sciences and transport science. This means that interdisciplinary institutions are needed to reflect the social and economic aspects of the issue. PROMOTING TESTS WITH AUTONOMOUS VEHICLES Politics is not in a position to replace entrepreneurial activity, but can at best create framework conditions for private initiatives. It should define test areas

of Innovation Policy Intervention, Manchester Institute of Innovation Research, Manchester Business School. [16] Bonnefon, J. F., Shariff, A., Rahwan, I., 2016: The Social Dilemma of Autonomous Vehicles, in: Science, 1573 1576. [17] Bundesministerium für Verkehr und digitale Infrastruktur der Bundesrepublik Deutschland, 2017: Ethik-Kommission: Automatisiertes und vernetztes Fahren, Berlin. [18] Burns,

? [33] European Automobile Manufacturers’ Association, 2015: The Truck of the Future - Innovative, Fuel-Efficient, Safe, Brussels. [34] Faerber, B., 2016: Communication and Communication Problems between Autonomous Vehicles and Human Drivers, in: Maurer, M., Bibliography 416 Gerdes, C. J., Lenz, B., Winner, H., Autonomous Driving, Berlin, 125 148. [35] Fernandez, P., Nunes,

U., 2012: Platooning with IVC-enabled Autonomous Vehicles Strategies to Mitigate Communication Delays, Improve Safety and Traffic Flow, in: IEEE Transactions on Intelligent Transportation Systems, 91 106. [36] Fitch, G. M., 2015: The

Institut, 2015: Hochautomatisiertes Fahren auf Autobahnen Industriepolitische Schlussfolgerungen. [44] Fraunhofer Institut, Horvath & Partners, 2016: The Value of Time. [45] Friedrich, B., 2016: The Effect of Autonomous Vehicles onTraffic, in: Maurer, M., Gerdes, C. J., Lenz, B., Winner, H., Autonomous Driving, Berlin, 317 334. [46] Frost and Sullivan, 2016: Strategic Outlook of

ethische Fragen, in: Neue Zürcher Zeitung, January. [70] KPMG, 2012: Self-driving Cars: The Next Revolution. [71] KPMG, 2015: Automobile Insurance in the Era of Autonomous Vehicles. Bibliography 419 [72] KPMG, 2015: Global Automotive Executive Survey. [73] Kroeger, F., 2016: Automated Driving in its Social, Historical, and Cultural Contexts, in: Maurer,

Automation, Berlin, 25 35. [105] PricewaterhouseCoopers, 2015: Connected Car Study. [106] PricewaterhouseCoopers, 2016: Connected Car Report 2016 Opportunities, Risk, and Turmoil on the Road to Autonomous Vehicles. [107] Radlmayr, J., Gold, C., Lorenz, L., Farid, M., Bengler, K., 2014: How Traffic Situations and Non-driving Related Tasks Affect the Take-over

B., Winner, H., Autonomous Driving, Berlin, 301 316. [143] Waytz, A., Heafner, J., Epley, N., 2014: The Mind in the Machine: Anthropomorphism increases Trust in autonomous Vehicles, in: Journal of Experimental Social Psychology, 113 117. [144] Winkle, T., 2016: Safety Benefits of Automated Vehicles: Extended Findings from Accident Research for Development, Validation

144 Aisin, 9 Albert (head of design at Yahoo), 228 Alexandra (founder and owner of Powerful Minds), 228 Alibaba Alipay payment system, 372 Alternative fuels, autonomous vehicles enabling use of, 305 Altruistic mode (a-drive mode), 252 Amazon, 138, 141, 311 American Trucking Association, 68 Android operating system, 327 Anthropomorphise products,

, 16 17, 172, 405 establishment as industry of future, 404 405 resistance to, 171 172 Autonomous Robocars, 81 Autonomous sharp, 274 ‘Autonomous soft’ mode, 274 Autonomous trucks, 161 from Daimler, 163 savings effects from, 68 69 Autonomous vehicles, 26, 81, 99, 138, 155, 182, 221, 238, 249, 255, 353 354 enabling use

experts, 132 Telematics data, 356 devices, 142 services, 142 Ten-point plan for governments, 401 autonomous mobility establishment as industry of future, 404 405 autonomous vehicles integration in cities, 406 industry clusters development, 405 406 initiating social discourse, 402 investing in communication infrastructure, 403 404 investing in transport infrastructure, 402 403

Why We Drive: Toward a Philosophy of the Open Road

by Matthew B. Crawford  · 8 Jun 2020  · 386pp  · 113,709 words

of non-negotiable terms of service that would allow your robocar provider to aggregate and sell where you go, when, with whom, and for what purpose.” One can imagine the removal of street signs, those eyesores that aren’t needed by autonomous vehicles, tipping us further into dependence on the cartel. Bogost writes

’s analysis, one has to wonder: is Uber’s conspicuous interest in driverless cars really driven by a hope to replace low-wage drivers with autonomous vehicles? Why transfer the capital costs of Uber cars from immigrants who are often financially unsavvy, and get locked into ruthless auto-lease agreements, to the

where it leads. The necessity of doing so becomes apparent once you start to look more closely at the safety claims made on behalf of autonomous cars, and on behalf of various steps in that direction, already available, that allow hands-free driving. In January 2017, the National Highway Traffic Safety Administration

Musk “berated reporters for focusing on stories about crashes instead of touting the safety benefits of Autopilot.” “They should be writing a story about how autonomous cars are really safe,” Musk said in a May 2018 earnings call. “But that’s not a story that people want to click on. They write

Randy Whitfield the last word, as he states the lesson of this episode with admirable clarity: The larger question is whether the field experience of autonomous vehicles and advanced driver-assistance systems will be fairly and transparently assessed by the public officials charged with insuring the public’s safety while this technology

, human intelligence and machine intelligence have a hard time sharing control. This becomes evident in the problems posed by partially autonomous cars, and is evident also in the problems posed when fully autonomous cars have to share the road with human drivers. Driverless cars are programmed to follow traffic rules to the letter and

as an interesting assignment. I brushed up on the direction Porsche was currently taking, and I learned that they were making a big investment in autonomous car technology, which surprised me given their niche and their legacy. I came across a public statement from the CEO, who asked us to imagine that

and the unique pleasure that comes from enlarging those bodily powers through a mechanical extension of ourselves. Automation as Moral Reeducation What happens when an autonomous car cannot avoid colliding with another car, or with pedestrians, or a dog, and it must make a decision whom to hit? What sort of moral

the situation. As embodied practical skills, the virtues have to be exercised or they atrophy. The point of this digression is not to complain that autonomous cars will lack Aristotelian virtue, but rather to consider their effect on us, in combination with all the other ways we are ceding responsibility to “intelligent

, and within any given culture local norms develop that further ease the predictive problem faced by individual minds. According to the Times, “Experimental designs for autonomous cars incorporate as many as 16 video cameras, 12 radar sensors, half a dozen ultrasonic sensors, and four or five lidar detectors. And still more sensors

that computers aren’t nearly as smart as humans—and won’t be for a very, very long time.”5 It is estimated that an autonomous car will need a computer capable of 300 trillion operations per second. RADICAL MONOPOLY If, at some late date in the future, a highly coordinated system

of autonomous cars were to achieve the level of efficiency that prevails today at an intersection in the old country, it would be counted a smashing success. But

after a light turns green before proceeding. But of course, that in itself could cause testy reactions from other drivers, if turned into a rule. Autonomous cars face the same predictive problem as human drivers, except that they are subject to neither the benefits nor the hazards of being engaged in a

manage its affairs. But in fact the firm has refused to share the data, and this has been the case wherever it has deployed its autonomous cars. “This was an opportunity missed,” said Pittsburgh’s city controller. He might have misunderstood what the opportunity was in the first place. We might be

for (like an automatic transmission, or a hybrid power train). But what they have in mind is something altogether different from a market exchange. An autonomous car may hold some genuine utility for you, but their purpose is not to make the car better for you, and ask for money in return

. Autonomous cars may increase the efficiency of traffic and its safety. But their development is not driven by such public-spirited concerns. To understand the forces behind

your rectum. If you find this intrusive, or extraneous to the purpose for which you bought a thermometer, you may not be ready for an autonomous car. Give yourself an adjustment period. With time, your expectations will dilate to accommodate the probing style of your new friend. Nest is a company that

/apps/pbcs.dll/article?AID=/20171105/INDUSTRY_REDESIGNED/171109944/industry-redesigned-bob-lutz. 7.Ian Bogost, “Will Robocars Kick Humans off City Streets?” Atlantic, June 23, 2016, https://www.theatlantic.com/technology/archive/2016/06/robocars-only/488129/. 8.A. M. Glenberg and J. Hayes, “Contribution of Embodiment to Solving the Riddle

.S. adults think automated vehicles are more dangerous than traditional vehicles operated by people, while nearly two-thirds said they would not buy a fully autonomous vehicle, according to [a 2019 Reuters/Ipsos opinion poll]. In the same poll, about 63 percent of those who responded said they would not pay more

on this matter, the firm states that it has no financial stake in Tesla, its competitors, or any other interests connected to the technology of autonomous cars and driver assistance systems. 5.“NHTSA’s finding that the airbag deployment crash rate for Teslas dropped following the installation of Autosteer would have been

, p. B5. “Self-driving cars will generate 4 terabytes of data per hour.” A senior director at one of the suppliers of computer chips for autonomous car research says, “They think we need 300 teraflops of computing power.” Quain writes, “A teraflop is a trillion operations per second, which means that every

exit ramp and every traffic light—and update it in real time as traffic is rerouted around construction and accidents? . . . ‘If we want to have autonomous cars everywhere, we have to have digital maps everywhere,’ said Amnon Shashua, chief technology officer at Mobileye, an Israeli company that makes advanced vision systems for

in, 123 traffic enforcement, 217 automobile safety. See also risk reduction airbag deployment, 86, 88 airbags, 90–91, 95, 96–97 automated. See automation in autonomous cars, 86–87, 301 Autosteer, 86–89 in-car information system, 99 changing driving behavior, 90–91 cost of, 95–96 design elements, 91–92 deskilling

traction control, 92 unobtrusive features, 93–94, 96–97 vitalist critique of, 33–34 automobiles. See also automobile safety; old cars; project cars autonomous. See autonomous cars; driverless cars, semiautonomous cars; Uber deadening of cities and, 35–36 driver’s attitudes toward, 41–42 empowered moral isolation of, 239 horses vs., 36

–39 personalities of, 41–42 as sheltering space, 40–42 transformation of cities and, 35–36 automotive improv artist, 81–83 automotive subcultures, 10, 28 autonomous cars. See also driverless cars; semiautonomous cars; Uber efficiency of, 246–247 experimental designs for, 246 predictive problems of, 259 programming local social norms, 259 safety

compared to figure skating, 167 countersteering, 167 as motor sport, 164–168 practice run, 165–168 tandem drift, 167–168 driverless cars. See also automation; autonomous cars; semiautonomous cars; Uber affect on people, 122 boredom and, 5 communicating with one another, 104 dystopian films on, 22 ethical dilemmas of, 117 future scenario

–79 seat belts, 90, 97 Sedaris, David, 249–250 Seeing Like a State (Scott), 267–268, 284–285 self, better, 170 self-driving cars. See autonomous cars; driverless cars; semiautonomous cars self-government, 31–32, 193, 204 self-locomotion, 12–13 self-mobility, memory and, 12–14, 60–61 semiautonomous cars. See

also autonomous cars; driverless cars in-car information system, 99 cognitive demands in, 102–103 driver’s role in, 98 lane departure warnings, 101 lane-keeping alerts, 100

Our Robots, Ourselves: Robotics and the Myths of Autonomy

by David A. Mindell  · 12 Oct 2015  · 265pp  · 74,807 words

greater safety and reliability; networks of ships, satellites, and floating buoys helped pinpoint locations; engineers interpreted and acted on data produced by robots. Automated and autonomous vehicles constantly returned to their human makers for information, energy, and guidance. Air France 447 made tragically clear that as we constantly adapt to and reshape

environments teach us about our near future, when similar technologies might pervade automobiles, health care, education, and other human endeavors. Human-operated, remotely controlled, and autonomous vehicles represent the leading edge of machine and human potential, new forms of presence and experience, while drawing our attention to the perils, ethical implications, and

any such thing. In fact there is good evidence that people are moving into deeper intimacy with their machines. We repeatedly find human, remote, and autonomous vehicles evolving together, each affecting the other. Unmanned aircraft, for example, cannot occupy the national airspace without the task of piloting manned aircraft changing too. In

hydrothermal vents. The additional costs of a 10,000-meter rating were astronomical, and the idea soon floundered as it became obvious that remote or autonomous vehicles could survey the areas at much lower cost and with no lives at risk. A second argument for the new Alvin was the quality of

wandered off to the southwest. Is it malfunctioning or is that part of its decision making tree?’” Operating in the deep ocean is expensive, and autonomous vehicles, even though they’re unmanned, are far from disposable. “People like to know where their assets are,” Kinsey observes, “especially when they pay a lot

range or if the optical link is lost. Autonomy then becomes a function of position and bandwidth. Overall, the lines between the human, remote, and autonomous vehicles undersea are blurring. Engineers now envision an ocean with many vehicles working in concert. Some may contain people, others will be remote or autonomous, all

will be capable of shifting modes at different times. The recently upgraded Alvin has software originally designed for autonomous vehicles; one day it may connect to the surface with an optical fiber. One day it might even operate unmanned. The challenges are to coordinate all

nine feet high narrowed the roads and altered traffic patterns. What have we learned from extreme environments that might shed light on possible futures for autonomous cars? We know that driverless cars will be susceptible to all of the problems that surround people’s use of automation in the environments we have

words of project director Chris Urmson, the company is “working toward the goal of vehicles that can shoulder the entire burden of driving.” These fully autonomous cars would be “designed to operate safely and autonomously without requiring human intervention.” The new car’s interface consists only of buttons to start and stop

, utopian autonomy (the myth of linear progress); 2) autonomous driving systems will eliminate human drivers in the driving task (the myth of replacement); and 3) autonomous cars can operate entirely on their own (the myth of full autonomy). Our ventures into extreme environments have taught us how this utopian autonomy succumbs to

difficult challenges, yet here they have punted the meaningful, socially beneficial problems in favor of narrow algorithmic solutions. And, of course, even with Google’s autonomous cars, the people are still “in there,” they’ve just moved to a different place and time. Let’s look inside an algorithm as an example

of how deeply humanly crafted apparently autonomous code can be. Consider the first documented collision between autonomous cars. The Defense Advanced Research Projects Agency–sponsored competition, the DARPA Grand Challenge of 2007, generated some of the technology on which the Google car is

he observes, “The problem of autonomy is fundamentally the problem of living in an uncertain world.” This brief look inside an early autonomous car’s code points to how deeply such “autonomous” cars are suffused with human judgment, in countless little details like the threshold we looked at, and in more profound ways, like

here just fine: if the company makes the product, they will be liable). More practically, how does one certify as safe the software in an autonomous car? The certification approach for software on life-critical systems like airliners is fairly robust, but cumbersome and expensive: rigorous testing, running through every possible piece

that claim full autonomy, where the number of possible courses of action verges on the infinite. What’s more, like synthetic vision systems in aviation, autonomous cars like Google’s must rely on high-integrity databases served with frequent updates. Miss last week’s update, and you could drive right into a

risk. Perhaps you’re running low on fuel and would like to raise the importance of fuel efficiency. As a thought experiment, consider whether your autonomous car should have a knob on it labeled “risk.” Want to get home faster? Dial up the risk knob. The system drives more aggressively, you get

to an alternative approach to Google’s—rethinking, rather than eliminating, the driver. The enticing, shadowy pictures of the laser-scanned landscape that reveal the autonomous car’s internal models now become the basis of a new interface, and a new experience of driving. As my colleague Bill Mitchell used to say

(like texting or reading) while driving, and enhance safety, while still keeping central the value of human presence. Google’s goals and rhetoric for their autonomous cars have changed regularly, and are likely to change again in a fast-moving public conversation. Their public statements likely reflect some difference of vision among

robotics. “Drones” and their work are human products, not impersonal technologies. Unmanned vehicles don’t have people on board, but they still embody human efforts. Autonomous vehicles regularly connect with, and return to, the human world. Human operators are linked to vast networks of data, colleagues, and imagery even as they become

human input. Instead our explorations have shown how the three modes evolve together, feeding back and cross-pollinating. The new Alvin includes software developed for autonomous vehicles; airliners resemble telerobots that you sit in. The Apollo lunar landings were not simply flown by heroic pilots, but tightly linked to ground controllers and

, October 9, 2010, http://www.nytimes.com/2010/10/10/science/10google.html. The Google car’s successful driving tests: Mark Harris, “How Google’s Autonomous Car Passed the First U.S. State Self-Driving Test,” IEEE Spectrum Online, September 10, 2014, http://spectrum.iee.org. Idem., “These Are the Secrets Google

-secrets-google-wanted-to-keep-about-its-self-driving-cars/, accessed November 18, 2014. Mark Harris, “How Much Training Do You Need to Be a Robocar Test Driver? It Depends On Whom You Work For,” IEEE Spectrum Cars That Think, February 24, 2015, http://spectrum.ieee.org/cars-that-think/transportation

/human-factors/how-much-training-do-you-need-to-be-a-robocar-test-driver-it-depends-on-whom-you-work-for. He put a video camera on the dashboard of his car: John Leonard, “Conversations on Autonomy

Making Between Self-Driving Cars and How the World Works,” New York Times, January 23, 2012, http://www.nytimes.com/2012/01/24/technology/googles-autonomous-vehicles-draw-skepticism-at-legal-symposium.html. Will Knight, “Proceed with Caution toward the Self-Driving Car,” MIT Technology Review, April 16, 2013, http://www.technologyreview

July 10, 2014. Google discovered that “people are lazy”: Tom Simonite, “Lazy Humans Shaped Google’s New Autonomous Car,” MIT Technology Review (May 30, 2014), http://www.technologyreview.com/news/527756/lazy-humans-shaped-googles-new-autonomous-car/. Will Knight, “Driverless Cars Are Further Away Than You Think,” MIT Technology Review (October 22, 2013

blog, May 27, 2014, http://googleblog.blogspot.com/2014/05/just-press-go-designing-self-driving.html, accessed July 9, 2014. Evan Ackerman, “Google’s Autonomous Cars Are Smarter Than Ever at 700,000 Miles,” IEEE Cars that Think Blog, April 29, 2014, accessed July 10, 2014. published the details of the

Artificial Unintelligence: How Computers Misunderstand the World

by Meredith Broussard  · 19 Apr 2018  · 245pp  · 83,272 words

self-driving car is a story about the fundamental limits of computing. Looking at what worked—and what didn’t—during the first decade of autonomous vehicles is a cautionary tale about how technochauvinism can lead to magical thinking about technology and can create a public health hazard. My first ride happened

drive itself through an empty “city” made out of a decommissioned military base. No remote controls, no preprogrammed paths through the city: just eighty-nine autonomous vehicles trying to drive down streets, around corners, through intersections, and around each other. The sponsor, the Defense Advanced Research Projects Agency (DARPA), promised a $2

turning smoothly. Foote and Stewart conferred. They were robot-car veterans, having worked on two Grand Challenge robot cars as undergrads at Caltech. Their last autonomous vehicle was Alice, a Ford E350 van developed for the 2005 Grand Challenge. In the desert race, Alice drove herself about seven miles before heading into

two-ton killing machine on streets that are teeming with gloriously unpredictable masses of people. Since the 2007 Grand Challenge, DARPA has moved on from autonomous vehicles. Their current funding priorities don’t include self-driving cars. “Life is by definition unpredictable. It is impossible for programmers to anticipate every problematic or

and run anywhere. If there are fifty states, plus Washington, DC, and the US territories, all of which have different traffic laws and standards for autonomous vehicles, programmers will have to rewrite traffic rules and operational rules for each state. We’ll very quickly end up in the same confused, scattered situation

they voluntarily comply with fifty-plus different state traffic schemas and then manage to communicate these different operating procedures to each customer who buys an autonomous car. The communication problem surfaces again when we talk about self-driving cars. The National Highway Traffic Safety Association (NHTSA), the government agency in charge of

defining specifically what they meant. Again—normal for language, problematic for policy. In an effort to wrangle the Wild West of autonomous vehicles, the NHTSA published a set of categories for autonomous vehicles. The September 2016 Federal Automated Vehicles Policy reads as follows: There are multiple definitions for various levels of automation and for

a car that can parallel-park itself—and as a small, finite exercise in geometry, it’s a terrific use of technology. Most of the autonomous vehicle research and some training data is available online in arXiv and in scholarly repositories.9 On GitHub, there is training data available, and there is

mistakes. We know this. Even the humans who make software make mistakes. Nobody is a perfect driver. Even the people who write the software for autonomous vehicles are not perfect drivers. When you consider that humans drive trillions of miles every year, and avoid accidents for most of that time, it’s

roads. They don’t operate in snow and other bad weather because they can’t “see” in these conditions. The lidar guidance system in an autonomous car works by bouncing laser beams off nearby objects. It estimates how far the objects are by measuring the reflection time. In the rain or snow

cars are easy to confuse because they rely on the same mediocre image recognition algorithms that mislabel pictures of black people as gorillas.13 Most autonomous vehicles use algorithms called deep neural networks, which can be confused by simply putting a sticker or graffiti on a stop sign.14 GPS hacking is

a very real danger for autonomous vehicles as well. Pocket-size GPS jammers are illegal, but they are easy to order online for about $50. Commercial truckers commonly use jammers in order

Brown’s fault, not the computer’s. They did note, however, that Tesla might reconsider its decision to call the feature Autopilot. Decisions about how autonomous vehicles should react are quite literally life-and-death decisions. The Tesla Model X P90D has a curb weight of 5,381 pounds. For reference, a

ride in an Uber self-driving car in Pittsburgh, I tried to schedule a ride at NVIDIA, the company that makes the chips used in autonomous vehicles. They told me that it was a bad time and to check back after the Consumer Electronics Show (CES), a big tradeshow in Las Vegas

for your car to arrive kind of defeats the point of having a car at all. “Someday” is the most common way to talk about autonomous vehicles. Not if, but when. This seems strange to me. The fact that I couldn’t get a ride at Uber or NVIDIA or Waymo means

lunch, then came home and realized the only thing we had for dinner was hot dogs. As a car, the Tesla is amazing. As an autonomous vehicle, I am skeptical. Part of the problem is that the machine ethics haven’t been finalized because they are very difficult to articulate. The ethical

conversation between President Barack Obama and MIT Media Lab director Joi Ito, which was published in Wired, the two men talked about the future of autonomous vehicles.25 “The technology is essentially here,” Obama said. We have machines that can make a bunch of quick decisions that could drastically reduce traffic fatalities

GPS Signals Is Illegal, Dangerous, Cheap, and Easy.” 16. See Harris, “God Is a Bot, and Anthony Levandowski Is His Messenger”; Marshall, “Uber Fired Its Robocar Guru, But Its Legal Fight with Google Goes On.” Harris also writes that Levandowski founded a religious organization, Way of the Future, in an attempt

Silicon Valley.” New Yorker, June 9, 2016. http://www.newyorker.com/culture/culture-desk/how-silicon-valley-nails-silicon-valley. Marshall, Aarian. “Uber Fired Its Robocar Guru, But Its Legal Fight with Google Goes On.” Wired, May 30, 2017. https://www.wired.com/2017/05/uber-fires-anthony-levandowski-waymo-google

, 186 California, drug use in, 158–159 Cameron, James, 95 Campaign finance, 177–186, 191 Čapek, Karel, 129 Caprio, Mike, 170–171 Carnegie Mellon University, autonomous vehicle research ALVINN, 131 University Racing Team (Boss), 124, 126–127, 130–131 Cars deaths associated with, 136–138, 146 distracted driving of, 146 human-centered

Ghost Road: Beyond the Driverless Car

by Anthony M. Townsend  · 15 Jun 2020  · 362pp  · 97,288 words

Robot Rules: Regulating Artificial Intelligence

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Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World

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Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It

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The Road to Conscious Machines

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Genius Makers: The Mavericks Who Brought A. I. To Google, Facebook, and the World

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Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It

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Future Politics: Living Together in a World Transformed by Tech

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Fully Automated Luxury Communism

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Prediction Machines: The Simple Economics of Artificial Intelligence

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Ways of Being: Beyond Human Intelligence

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Connectography: Mapping the Future of Global Civilization

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Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond: The Innovative Investor's Guide to Bitcoin and Beyond

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Data Action: Using Data for Public Good

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In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence

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The End of Doom: Environmental Renewal in the Twenty-First Century

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Green Swans: The Coming Boom in Regenerative Capitalism

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Thank You for Being Late: An Optimist's Guide to Thriving in the Age of Accelerations

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Squeezed: Why Our Families Can't Afford America

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The Fifth Domain: Defending Our Country, Our Companies, and Ourselves in the Age of Cyber Threats

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Taming the Sun: Innovations to Harness Solar Energy and Power the Planet

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The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power

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Chinese Spies: From Chairman Mao to Xi Jinping

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Supertall: How the World's Tallest Buildings Are Reshaping Our Cities and Our Lives

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Exponential Organizations: Why New Organizations Are Ten Times Better, Faster, and Cheaper Than Yours (And What to Do About It)

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The Four: How Amazon, Apple, Facebook, and Google Divided and Conquered the World

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Amazon Unbound: Jeff Bezos and the Invention of a Global Empire

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The Globotics Upheaval: Globalisation, Robotics and the Future of Work

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The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity

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Material World: A Substantial Story of Our Past and Future

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Chaos Engineering: System Resiliency in Practice

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Survival of the Richest: Escape Fantasies of the Tech Billionaires

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Digital Empires: The Global Battle to Regulate Technology

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The Future of the Professions: How Technology Will Transform the Work of Human Experts

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Uncharted: How to Map the Future

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Nothing but Net: 10 Timeless Stock-Picking Lessons From One of Wall Street’s Top Tech Analysts

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Makers at Work: Folks Reinventing the World One Object or Idea at a Time

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Superintelligence: Paths, Dangers, Strategies

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Seriously Curious: The Facts and Figures That Turn Our World Upside Down

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Applied Artificial Intelligence: A Handbook for Business Leaders

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Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies

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Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else

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Super Thinking: The Big Book of Mental Models

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The Code: Silicon Valley and the Remaking of America

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This Is Not a Drill: An Extinction Rebellion Handbook

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The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World

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An Ugly Truth: Inside Facebook's Battle for Domination

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Visual Thinking: The Hidden Gifts of People Who Think in Pictures, Patterns, and Abstractions

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Peak Car: The Future of Travel

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Growth: From Microorganisms to Megacities

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Bike Boom: The Unexpected Resurgence of Cycling

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Red Flags: Why Xi's China Is in Jeopardy

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Samsung Rising: The Inside Story of the South Korean Giant That Set Out to Beat Apple and Conquer Tech

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Hit Refresh: The Quest to Rediscover Microsoft's Soul and Imagine a Better Future for Everyone

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Revenge of the Tipping Point: Overstories, Superspreaders, and the Rise of Social Engineering

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Blockchain Chicken Farm: And Other Stories of Tech in China's Countryside

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Narrative Economics: How Stories Go Viral and Drive Major Economic Events

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AI 2041: Ten Visions for Our Future

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I, Warbot: The Dawn of Artificially Intelligent Conflict

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Driverless Cars: On a Road to Nowhere

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Ludicrous: The Unvarnished Story of Tesla Motors

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Street Smart: The Rise of Cities and the Fall of Cars

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New Laws of Robotics: Defending Human Expertise in the Age of AI

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System Error: Where Big Tech Went Wrong and How We Can Reboot

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Arriving Today: From Factory to Front Door -- Why Everything Has Changed About How and What We Buy

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The End of Traffic and the Future of Transport: Second Edition

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Architects of Intelligence

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Augmented: Life in the Smart Lane

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The New Map: Energy, Climate, and the Clash of Nations

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The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives

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The Great Race: The Global Quest for the Car of the Future

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Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

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21 Lessons for the 21st Century

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Succeeding With AI: How to Make AI Work for Your Business

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Artificial Intelligence: A Modern Approach

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Collision Course: Carlos Ghosn and the Culture Wars That Upended an Auto Empire

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Unit X: How the Pentagon and Silicon Valley Are Transforming the Future of War

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Only Humans Need Apply: Winners and Losers in the Age of Smart Machines

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Human + Machine: Reimagining Work in the Age of AI

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Army of None: Autonomous Weapons and the Future of War

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Radical Technologies: The Design of Everyday Life

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Artificial Intelligence: A Guide for Thinking Humans

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The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies

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AI Superpowers: China, Silicon Valley, and the New World Order

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Cult of the Dead Cow: How the Original Hacking Supergroup Might Just Save the World

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Tech Titans of China: How China's Tech Sector Is Challenging the World by Innovating Faster, Working Harder, and Going Global

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Human Compatible: Artificial Intelligence and the Problem of Control

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Rule of the Robots: How Artificial Intelligence Will Transform Everything

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The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism

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