Anthropic 2024 paper

reference

Wikipedia·en.wikipedia.org/wiki/AI_safety

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3/5

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Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: Wikipedia

This Wikipedia article serves as a broad introductory reference for AI safety; useful for orienting newcomers but lacks the depth and rigor of primary research papers or dedicated technical resources.

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Importance: 45/100wiki pagereference

Summary

A comprehensive Wikipedia overview of AI safety as an interdisciplinary field, covering its core components including AI alignment, risk monitoring, and robustness, as well as the policy landscape and institutional developments through 2023. The article surveys motivations ranging from near-term risks like bias and surveillance to speculative existential risks from AGI, and documents the field's rapid growth following generative AI advances.

Key Points

•AI safety encompasses technical research (alignment, robustness, monitoring) and policy work (norms, regulations, government advocacy).
•Risks range from near-term concerns (bias, surveillance, cyberattacks, bioterrorism) to speculative long-term risks (AGI loss of control, AI-enabled authoritarianism).
•The field gained major momentum in 2023, leading to the creation of AI Safety Institutes in the US and UK following the AI Safety Summit.
•Researchers warn that safety measures are not keeping pace with the rapid development of AI capabilities.
•The field involves ongoing debate between those dismissing AGI risks (e.g., Andrew Ng) and those urging caution (e.g., Stuart Russell).

Cited by 2 pages

Page	Type	Quality
Provable / Guaranteed Safe AI	Concept	64.0
Longterm Wiki	Project	63.0

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# AI safety

AI safety

Artificial intelligence field of study

**AI safety** is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from [artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence "Artificial intelligence") (AI) systems. It encompasses [AI alignment](https://en.wikipedia.org/wiki/AI_alignment "AI alignment") (which aims to ensure AI systems behave as intended), monitoring AI systems for risks, and enhancing their robustness. The field is particularly concerned with [existential risks](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence "Existential risk from artificial general intelligence") posed by advanced AI models.[\[1\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-1)[\[2\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-Hendrycks2022-2)

Beyond technical research, AI safety involves developing norms and policies that promote safety, including advocacy for regulations at different levels of government.[\[3\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-3)[\[4\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-4)[\[5\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-5) The field gained significant popularity in 2023, with rapid progress in [generative AI](https://en.wikipedia.org/wiki/Generative_AI "Generative AI") and public concerns voiced by researchers and CEOs about potential dangers. During the 2023 [AI Safety Summit](https://en.wikipedia.org/wiki/AI_Safety_Summit_2023 "AI Safety Summit 2023"), the United States and the United Kingdom both established their own [AI Safety Institute](https://en.wikipedia.org/wiki/AI_Safety_Institute "AI Safety Institute"). However, researchers have expressed concern that AI safety measures are not keeping pace with the rapid development of AI capabilities.[\[6\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-6)

## Motivations

Scholars discuss current risks from [critical systems](https://en.wikipedia.org/wiki/Critical_system "Critical system") failures,[\[7\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-7) [bias](https://en.wikipedia.org/wiki/Algorithmic_bias "Algorithmic bias"),[\[8\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-:3-8) and AI-enabled surveillance,[\[9\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-9) as well as emerging risks like [technological unemployment](https://en.wikipedia.org/wiki/Technological_unemployment "Technological unemployment"), digital manipulation,[\[10\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-10) weaponization,[\[11\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-:13-11) AI-enabled [cyberattacks](https://en.wikipedia.org/wiki/Cyberattack "Cyberattack")[\[12\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-12) and [bioterrorism](https://en.wikipedia.org/wiki/Bioterrorism "Bioterrorism").[\[13\]](https://en.wikipedia.org/wiki/AI_safety#cite_note-13) They also discuss speculative risks

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