mlsanityData to 14 Oct 2026

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

arXiv 2211.06318 ↗First posted 31 Oct 2022cs.CY cs.AI cs.LGcited by 16

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Abstract (arXiv)

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first 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 Peter Stone of the University of Texas at Austin. The report, entitled "Artificial Intelligence and Life in 2030," examines eight domains of typical urban settings on which AI is likely to have impact over the coming years: transportation, home and service robots, healthcare, education, public safety and security, low-resource communities, employment and workplace, and entertainment. It aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI and its potential and to help guide decisions in industry and governments, as well as to inform research and development in the field. The charge for this report was given to the panel by the AI100 Standing Committee, chaired by Barbara Grosz of Harvard University.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 1 of its 35 references that are in the map. First posted on arXiv 31 Oct 2022.

Builds on

1 of 35 references.

References · 1

  1. 2013Empirical Analysis of Predictive Algorithms for Collaborative Filteringcited by 47

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 9; 2024: 5; 2025: 1; 2026: 1.

16 papers.

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  3. 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Makingcited by 18
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  5. 2024Enhancing textual textbook question answering with large language models and retrieval augmented generationcited by 14
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  7. 2024Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportationcited by 10
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  9. 2023MIMONet: Multi-Input Multi-Output On-Device Deep Learningcited by 3
  10. 2024AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Researchcited by 3
  11. 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
  12. 2026Measuring (some aspects of) the metacognition of AIcited by 2
4 more
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  3. 2023Reliable AI: Does the Next Generation Require Quantum Computing?cited by 0
  4. 2023Adinkra Symbol Recognition using Classical Machine Learning and Deep Learningcited by 0