mlsanityData to 7 Oct 2026

Why do Experts Disagree on Existential Risk and P(doom)? A Survey of AI Experts

arXiv 2502.14870 ↗First posted 25 Jan 2025cs.CY cs.AI cs.HCcited by 2

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Abstract (arXiv)

The development of artificial general intelligence (AGI) is likely to be one of humanity's most consequential technological advancements. Leading AI labs and scientists have called for the global prioritization of AI safety citing existential risks comparable to nuclear war. However, research on catastrophic risks and AI alignment is often met with skepticism, even by experts. Furthermore, online debate over the existential risk of AI has begun to turn tribal (e.g. name-calling such as "doomer" or "accelerationist"). Until now, no systematic study has explored the patterns of belief and the levels of familiarity with AI safety concepts among experts. I surveyed 111 AI experts on their familiarity with AI safety concepts, key objections to AI safety, and reactions to safety arguments. My findings reveal that AI experts cluster into two viewpoints -- an "AI as controllable tool" and an "AI as uncontrollable agent" perspective -- diverging in beliefs toward the importance of AI safety. While most experts (78%) agreed or strongly agreed that "technical AI researchers should be concerned about catastrophic risks", many were unfamiliar with specific AI safety concepts. For example, only 21% of surveyed experts had heard of "instrumental convergence," a fundamental concept in AI safety predicting that advanced AI systems will tend to pursue common sub-goals (such as self-preservation). The least concerned participants were the least familiar with concepts like this, suggesting that effective communication of AI safety should begin with establishing clear conceptual foundations in the field.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 5 of its 29 references that are in the map. First posted on arXiv 25 Jan 2025.

Builds on

5 of 29 references.

References · 5

  1. 2023AI Alignment: A Comprehensive Surveycited by 256
  2. 2016The Off-Switch Gamecited by 97
  3. 2024Thousands of AI Authors on the Future of AIcited by 48
  4. 2018AGI Safety Literature Reviewcited by 28
  5. 2022Forecasting AI Progress: Evidence from a Survey of Machine Learning Researcherscited by 7

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Citing papers per year: 2025: 2.

2 papers.