mlsanityData to 7 Oct 2026

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

arXiv 2210.15767 ↗First posted 27 Oct 2022cs.AIcited by 14

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 13 of its 54 references that are in the map. First posted on arXiv 27 Oct 2022.

Builds on

13 of 54 references.

References · 13

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2018Model Cards for Model Reportingcited by 1,068
  3. 2018A comparative study of fairness-enhancing interventions in machine learningcited by 208
  4. 2020Participation is not a Design Fix for Machine Learningcited by 110
  5. 2021Abstraction and Analogy-Making in Artificial Intelligencecited by 103
  6. 2019Problem Formulation and Fairnesscited by 85
  7. 2021Demystifying the Draft EU Artificial Intelligence Actcited by 82
  8. 2018Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolutioncited by 66
  9. 2020Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sensecited by 62
  10. 2019Roles for Computing in Social Changecited by 49
  11. 2019"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learningcited by 39
  12. 2021Algorithms and Decision-Making in the Public Sectorcited by 20
1 more
  1. 2020Neutralizing Self-Selection Bias in Sampling for Sortitioncited by 7

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 5; 2024: 4; 2025: 4.

14 papers.

Sort:

By area:

  1. 2024BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulationcited by 140
  2. 2025BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activitiescited by 29
  3. 2023FormalGeo: An Extensible Formalized Framework for Olympiad Geometric Problem Solvingcited by 26
  4. 2024Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefitscited by 9
  5. 2024FGeo-HyperGNet: Geometric Problem Solving Integrating FormalGeo Symbolic System and Hypergraph Neural Networkcited by 7
  6. 2023Analyzing the Impact of Companies on AI Research Based on Publicationscited by 5
  7. 2023Grasping AI: experiential exercises for designerscited by 3
  8. 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
  9. 2025The Essentials of AI for Life and Society: An AI Literacy Course for the University Communitycited by 2
  10. 2024Shaping AI's Impact on Billions of Livescited by 1
  11. 2022Neuro-Symbolic Spatio-Temporal Reasoningcited by 0
  12. 2023Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shiftscited by 0
2 more
  1. 2025AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AIcited by 0
  2. 2025A Vision Toward Energy-Efficient Domain-Specific Artificial Intelligence Models and Agentscited by 0