A field guide to AI positions

Probability of doom

Sources are over 18 months old.

Publication dates and source age

Sources counted: 2

Newest dated source: 2024-01-05

Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

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In plain language

Someone's estimated chance of an AI disaster. Check what outcome, time period and assumptions the number refers to. [1] [2]

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Keep in mind

These are judgments, not measured disaster rates. Grace and colleagues asked about different outcomes, loss of control and time limits. They warn that AI expertise does not guarantee forecasting skill and who responds can affect results. They still consider researchers' estimates useful. [2]

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A fuller explanation

In AI debates, p(doom) means an estimated probability of disaster. The Verdon interview illustrates the term and disagreement over how useful these estimates are. [1]

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How it relates to the map

This chart records expressed concern, not p(doom). No probability is inferred from a dot's height. [1]

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https://theaiatlas.org/ideas/pdoom/

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Sources and what we read

  1. 1. Guillaume Verdon: e/acc, AI doomers and effective altruism (transcript #407)

    Source is over 18 months old.

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2023-12-29

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: Introduction, p(doom) discussion from 57:56, AI doomers section from 2:26:27 and effective altruism section. These are attributed views; the transcript may contain errors.

    Read the AI doomers and effective altruism sections as examples of contested terminology. An advocate's description of opponents is not a neutral definition of their views. Transcript may contain errors.

  2. 2. Thousands of AI Authors on the Future of AI (version 3)

    Source is over 18 months old.

    Publication dates and source age

    Sources counted: 1

    Newest dated source: 2024-01-05

    Assessed at this edition's evidence cutoff: 2026-09-16. 18-month boundary: 2025-03-16.

    Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.

    What we read: Abstract, introduction, section 2, sections 4.2–4.3 and 5.2 of version 3; not the full paper or appendices.

    Read selected sections only. Survey estimates express respondents' beliefs; they do not measure future disaster rates.

Edition and machine-readable evidence

Content version 0.22.0. Evidence cutoff 2026-09-16; this does not mean every source was read on that day.

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