Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
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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.
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Citing papers per year: 2023: 9; 2024: 5; 2025: 1; 2026: 1.
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- 2026Measuring (some aspects of) the metacognition of AI31 Mar 2026
- 2025Virtual Community: An Open World for Humans, Robots, and Society20 Aug 2025
- 2024Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation29 May 2024
- 2024Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective12 May 2024
- 2024Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech10 May 2024
- 2024AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research5 Apr 2024
- 2024Enhancing textual textbook question answering with large language models and retrieval augmented generation5 Feb 2024
- 2023Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning27 Nov 2023
- 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making8 Aug 2023
- 2023MIMONet: Multi-Input Multi-Output On-Device Deep Learning22 Jul 2023
- 2023Reliable AI: Does the Next Generation Require Quantum Computing?3 Jul 2023
- 2023Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach1 Jun 2023
4 more
- 2023Autonomous GIS: the next-generation AI-powered GIS10 May 2023
- 2023Ecosystem Graphs: The Social Footprint of Foundation Models28 Mar 2023
- 2023Digital Engineering Transformation with Trustworthy AI towards Industry 4.0: Emerging Paradigm Shifts3 Jan 2023
- 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKs1 Jan 2023
- 2023Autonomous GIS: the next-generation AI-powered GIScited by 53
- 2023Ecosystem Graphs: The Social Footprint of Foundation Modelscited by 32
- 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Makingcited by 18
- 2024Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speechcited by 15
- 2025Virtual Community: An Open World for Humans, Robots, and Societycited by 13
- 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
- 2024Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspectivecited by 5
- 2023MIMONet: Multi-Input Multi-Output On-Device Deep Learningcited by 3
- 2024AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Researchcited by 3
- 2023The Design Principle of Blockchain: An Initiative for the SoK of SoKscited by 2
- 2026Measuring (some aspects of) the metacognition of AIcited by 2
- 2023Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approachcited by 1
12 most cited of 15 All 15 (JSON)
- 2026Measuring (some aspects of) the metacognition of AI31 Mar 2026
- 2025Virtual Community: An Open World for Humans, Robots, and Society20 Aug 2025
- 2024Towards Next-Generation Urban Decision Support Systems through AI-Powered Construction of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation29 May 2024
- 2024Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective12 May 2024
- 2024Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech10 May 2024
- 2024AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research5 Apr 2024
- 2023Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning27 Nov 2023
- 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making8 Aug 2023
- 2023MIMONet: Multi-Input Multi-Output On-Device Deep Learning22 Jul 2023
- 2023Reliable AI: Does the Next Generation Require Quantum Computing?3 Jul 2023
- 2023Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach1 Jun 2023
- 2023Autonomous GIS: the next-generation AI-powered GIS10 May 2023
12 newest of 15 All 15 (JSON)