Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Not on the map. Why?
Abstract (arXiv)
Advances in artificial intelligence (AI) are shaping modern life, from transportation, health care, science, finance, to national defense. Forecasts of AI development could help improve policy- and decision-making. We report the results from a large survey of AI and machine learning (ML) researchers on their beliefs about progress in AI. The survey, fielded in late 2019, elicited forecasts for near-term AI development milestones and high- or human-level machine intelligence, defined as when machines are able to accomplish every or almost every task humans are able to do currently. As part of this study, we re-contacted respondents from a highly-cited study by Grace et al. (2018), in which AI/ML researchers gave forecasts about high-level machine intelligence and near-term milestones in AI development. Results from our 2019 survey show that, in aggregate, AI/ML researchers surveyed placed a 50% likelihood of human-level machine intelligence being achieved by 2060. The results show researchers newly contacted in 2019 expressed similar beliefs about the progress of advanced AI as respondents in the Grace et al. (2018) survey. For the recontacted participants from the Grace et al. (2018) study, the aggregate forecast for a 50% likelihood of high-level machine intelligence shifted from 2062 to 2076, although this change is not statistically significant, likely due to the small size of our panel sample. Forecasts of several near-term AI milestones have reduced in time, suggesting more optimism about AI progress. Finally, AI/ML researchers also exhibited significant optimism about how human-level machine intelligence will impact society.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Jun 2022.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 3; 2025: 3.
7 papers.
- 2023Frontier AI Regulation: Managing Emerging Risks to Public Safetycited by 98
- 2024Thousands of AI Authors on the Future of AIcited by 48
- 2025Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Expertscited by 2
- 2024Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Likecited by 0
- 2024AI Predicts AGI: Leveraging AGI Forecasting and Peer Review to Explore LLMs' Complex Reasoning Capabilitiescited by 0
- 2025Serious Games: Human-AI Interaction, Evolution, and Coevolutioncited by 0
- 2025The human biological advantage over AIcited by 0
- 2025The human biological advantage over AI4 Sep 2025
- 2025Serious Games: Human-AI Interaction, Evolution, and Coevolution22 May 2025
- 2025Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Experts25 Jan 2025
- 2024AI Predicts AGI: Leveraging AGI Forecasting and Peer Review to Explore LLMs' Complex Reasoning Capabilities12 Dec 2024
- 2024Cooperative Evolutionary Pressure and Diminishing Returns Might Explain the Fermi Paradox: On What Super-AIs Are Like1 Apr 2024
- 2024Thousands of AI Authors on the Future of AI5 Jan 2024
- 2023Frontier AI Regulation: Managing Emerging Risks to Public Safety6 Jul 2023