Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
By Michael L. Littman, Ifeoma Ajunwa, G. Berger, Craig Boutilier, Morgan E. Currie, Finale Doshi-Velez, Gillian K. Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano and 7 more. 2022
128 citations recorded by the source corpus.
In September 2021, the"One Hundred Year Study on Artificial Intelligence"project (AI100) issued the second report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written by a panel of 17 study authors, each of whom is deeply rooted in AI research, chaired by Michael Littman of Brown University. The report, entitled"Gathering Strength, Gathering Storms,"answers a set of 14 questions probing critical areas of AI development addressing the major risks and dangers of AI, its effects on society, its public perception and the future of the field. The report concludes that AI has made a major leap from the lab to people's lives in recent years, which increases the urgency to understand its potential negative effects. The questions were developed by the AI100 Standing Committee, chaired by Peter Stone of the University of Texas at Austin, consisting of a group of AI leaders with expertise in computer science, sociology, ethics, economics, and other disciplines.
Subfields: Safety Research, Large Language Models, AI Ethics, Fairness & Society
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Citations in the corpus
- The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models (2022, background): “Since the trend in ML is to increase resources exponentially each year (Littman et al., 2021), this suggests that reward hacking will become more pronounced in the future in the absence of countermeasures.”
- BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation (2022, background): “The broader goal of these benchmarks is to fuel the development of general, effective robots that bring major benefits to people’s daily lives – human-centered AI that “serves human needs, goals, and values” [31–34].”
- From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing (2023, unknown): “OpenAI subsequently developed even more sophisticated models, such as GPT-2 in 2019 and GPT-3 in 2020, which were capable of generating text that was almost indistinguishable from human writing and excelled in various language/ style tasks [8].”