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AI Impacts Survey
webAuthor
https://aiimpacts.org/author/katja/
Credibility Rating
3/5
Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: AI Impacts
Data Status
Full text fetchedFetched Dec 28, 2025
Summary
A comprehensive analysis of twelve AI timeline surveys from 1972 to 2016, examining expert predictions about human-level AI. Surveys show median estimates ranging from the 2020s to 2085, with significant variation in methodologies and definitions.
Key Points
- •Median expert estimates for human-level AI range from 2020s to 2085
- •Survey participants are predominantly AI researchers with potential optimism bias
- •Significant variation exists in defining and predicting human-level AI timelines
Review
The AI Impacts Survey provides a critical meta-analysis of expert predictions regarding the development of human-level artificial intelligence, synthesizing results from twelve different surveys conducted between 1972 and 2016. The research highlights significant methodological variations, including differences in participant backgrounds, survey framing, and definitions of 'human-level AI', which contribute to the wide range of predicted timelines.
Key methodological insights include potential bias from AGI researchers who may be overly optimistic, the impact of 'inside' versus 'outside' view estimation approaches, and the challenge of consistently defining human-level AI. The surveys predominantly feature AI researchers, conference attendees, and technical experts, with median estimates for a 10% chance of human-level AI clustering in the 2020s and 50% chance estimates ranging between 2035 and 2050. This comprehensive review underscores the uncertainty and complexity of predicting technological breakthroughs, emphasizing the need for nuanced, multidisciplinary approaches to forecasting transformative AI capabilities.
Resource ID:
cd463c82ab0cd4f8 | Stable ID: NGIxZDE0MW