Human + Machine: Reimagining Work in the Age of AI
by
Paul R. Daugherty
and
H. James Wilson
Published 15 Jan 2018
Keyword or content filters or a program that monitored for sentiment could have provided a protective cushion. Similarly, in industry, it’s good to know the boundaries of what your AI is and isn’t allowed to do. Make sure others know the boundaries as well. In an organization, usually the sustainer asks about the boundaries, limitations, and unintended consequences of AI and then develops the guardrails to keep the system on track. Guardrails, therefore bolster worker confidence in AI. Use Human Checkpoints Ninety-two percent of automation technologists don’t fully trust robots. Part of the problem is human uncertainty around what the robot is “thinking” or planning to do next—that the machine is an inscrutable black box.
…
They should then focus on experimentation in order to test and refine that vision, all the while building, measuring, and learning. Throughout that process, though, they need to consider how to build trust in the algorithms deployed. That takes leadership—managers who promote responsible AI by fostering a culture of trust toward AI through the implementation of guardrails, the minimization of moral crumple zones, and other actions that address the legal, ethical, and moral issues that can arise when these types of systems are deployed. And last but certainly not least, process reimagination requires good data, and companies need to develop data supply chains that can provide a continuous supply of information from a wide variety of sources.
The Singularity Is Nearer: When We Merge with AI
by
Ray Kurzweil
Published 25 Jun 2024
,” New York Times, March 29, 2023 (updated April 4, 2023), https://www.nytimes.com/2023/03/29/technology/ai-chatbots-hallucinations.html; Ziwei Ji et al., “Survey of Hallucination in Natural Language Generation,” ACM Computing Surveys 55, no. 12, article 248 (March 3, 2023): 1–38, https://doi.org/10.1145/3571730. BACK TO NOTE REFERENCE 161 Jonathan Cohen, “Right on Track: NVIDIA Open-Source Software Helps Developers Add Guardrails to AI Chatbots,” NVIDIA, April 25, 2023, https://blogs.nvidia.com/blog/2023/04/25/ai-chatbot-guardrails-nemo. BACK TO NOTE REFERENCE 162 Turing, “Computing Machinery and Intelligence.” BACK TO NOTE REFERENCE 163 Turing, “Computing Machinery and Intelligence.” BACK TO NOTE REFERENCE 164 For example, in 2014 a chatbot called Eugene Goostman gained entirely unearned headlines as having passed the Turing test by imitating a thirteen-year-old Ukrainian boy who spoke poor English.
Four Battlegrounds
by
Paul Scharre
Published 18 Jan 2023
Zucked: Waking Up to the Facebook Catastrophe
by
Roger McNamee
Published 1 Jan 2019
Reset
by
Ronald J. Deibert
Published 14 Aug 2020
Several of these countries are known to engage in systematic human rights violations, but that didn’t seem to concern Clearview AI’s CEO, who sidestepped whether the company does any due diligence around whether it will sell to government clients in countries in which being gay is a crime. The breach also showed that Clearview’s system was being queried by a sovereign wealth fund in the UAE, local police in India, and a think tank in Saudi Arabia. BuzzFeed’s analysis revealed a callous disregard at Clearview AI for legal or other guardrails against misuse. According to BuzzFeed, “Clearview has taken a flood-the-zone approach to seeking out new clients, providing access not just to organizations, but to individuals within those organizations — sometimes with little or no oversight or awareness from their own management.” The company promoted the product to individuals in agencies and companies with free trials and encouraged them to search as many times as possible within the free trial period.
The Great Wave: The Era of Radical Disruption and the Rise of the Outsider
by
Michiko Kakutani
Published 20 Feb 2024
Elon Musk
by
Walter Isaacson
Published 11 Sep 2023