# AI Risk Skepticism

arXiv: https://arxiv.org/abs/2105.02704 · HTML: https://mlsanity.com/paper/2105.02704/

## Key facts

- Cited by 1 papers 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 (most cited first, 22 of 22)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Scaling Laws for Neural Language Models](https://mlsanity.com/paper/2001.08361/) (2020)
- [Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings](https://mlsanity.com/paper/1607.06520/) (2016)
- [Semantics derived automatically from language corpora contain human-like biases](https://mlsanity.com/paper/1608.07187/) (2016)
- [Scaling Laws for Autoregressive Generative Modeling](https://mlsanity.com/paper/2010.14701/) (2020)
- [First return, then explore](https://mlsanity.com/paper/2004.12919/) (2020)
- [The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation](https://mlsanity.com/paper/1802.07228/) (2018)
- [When Will AI Exceed Human Performance? Evidence from AI Experts](https://mlsanity.com/paper/1705.08807/) (2017)
- [AGI Safety Literature Review](https://mlsanity.com/paper/1805.01109/) (2018)
- [Long-Term Trends in the Public Perception of Artificial Intelligence](https://mlsanity.com/paper/1609.04904/) (2016)
- [Superintelligence cannot be contained: Lessons from Computability Theory](https://mlsanity.com/paper/1607.00913/) (2016)
- [AI safety: state of the field through quantitative lens](https://mlsanity.com/paper/2002.05671/) (2020)
- [Towards Moral Autonomous Systems](https://mlsanity.com/paper/1703.04741/) (2017)
- [Guidelines for Artificial Intelligence Containment](https://mlsanity.com/paper/1707.08476/) (2017)
- [Understanding and Avoiding AI Failures: A Practical Guide](https://mlsanity.com/paper/2104.12582/) (2021)
- [The Dark Side of Ethical Robots](https://mlsanity.com/paper/1606.02583/) (2016)
- [On Controllability of AI](https://mlsanity.com/paper/2008.04071/) (2020)
- [The Singularity May Never Be Near](https://mlsanity.com/paper/1602.06462/) (2016)
- [Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions](https://mlsanity.com/paper/2012.02592/) (2020)
- [Unethical Research: How to Create a Malevolent Artificial Intelligence](https://mlsanity.com/paper/1605.02817/) (2016)
- [Don't Fear the Reaper: Refuting Bostrom's Superintelligence Argument](https://mlsanity.com/paper/1702.08495/) (2017)
- [The Singularity May Be Near](https://mlsanity.com/paper/1706.01303/) (2017)

## Built on by (most cited first, 1 of 1)

- [Arguments about Highly Reliable Agent Designs as a Useful Path to Artificial Intelligence Safety](https://mlsanity.com/paper/2201.02950/) (2022)

## 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.