mlsanityData to 14 Oct 2026

AI Risk Skepticism

arXiv 2105.02704 ↗First posted 2 May 2021cs.AI cs.CYcited by 1

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Abstract (arXiv)

In this work, we survey skepticism regarding AI risk and show parallels with other types of scientific skepticism. We start by classifying different types of AI Risk skepticism and analyze their root causes. We conclude by suggesting some intervention approaches, which may be successful in reducing AI risk skepticism, at least amongst artificial intelligence researchers.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 22 of its 135 references that are in the map. First posted on arXiv 2 May 2021.

Builds on

22 of 135 references.

References · 22

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  12. 2020AI safety: state of the field through quantitative lenscited by 9
10 more
  1. 2017Towards Moral Autonomous Systemscited by 7
  2. 2017Guidelines for Artificial Intelligence Containmentcited by 7
  3. 2021Understanding and Avoiding AI Failures: A Practical Guidecited by 6
  4. 2016The Dark Side of Ethical Robotscited by 5
  5. 2020On Controllability of AIcited by 5
  6. 2016The Singularity May Never Be Nearcited by 4
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  8. 2016Unethical Research: How to Create a Malevolent Artificial Intelligencecited by 2
  9. 2017Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argumentcited by 1
  10. 2017The Singularity May Be Nearcited by 1

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Cited by year

Citing papers per year: 2022: 1.

1 paper.

  1. 2022Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safetycited by 0