# An Overview of Catastrophic AI Risks

**Authors:** Dan Hendrycks, Mantas Mazeika, Thomas Woodside  
**arXiv:** [2306.12001](https://arxiv.org/abs/2306.12001)  
**Date:** 2023-06-21  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2306.12001v1/

## Key points

- Authors address concerns surrounding catastrophic risks posed by advanced AI systems
- Main sources of catastrophic AI risks organized into four categories:
- Malicious use
- AI race
- Organizational risks
- Rogue AIs
- Specific hazards identified for each category of risk
- Illustrative stories provided to understand potential consequences
- Envision ideal scenarios and propose practical suggestions for mitigating dangers
- Goal is to promote understanding among experts, policymakers, and world leaders
- Inspire collaborative efforts to minimize catastrophic outcomes while harnessing benefits of advanced AI technology
- Provides valuable insights into dimensions of catastrophic AI risks
- Offers practical recommendations for addressing them effectively

## Summary

In their paper titled "An Overview of Catastrophic AI Risks," authors Dan Hendrycks, Mantas Mazeika, and Thomas Woodside address the growing concerns surrounding the potential catastrophic risks posed by advanced artificial intelligence (AI) systems. The authors organize the main sources of catastrophic AI risks into four categories: malicious use, where individuals or groups intentionally exploit AI systems to cause harm; AI race, which refers to competitive environments that compel actors to deploy unsafe AIs or relinquish control to AIs in order to gain an advantage; organizational risks highlighting how human factors and complex systems can increase the likelihood of catastrophic accidents involving AI; and rogue AIs describing the inherent difficulty in controlling agents that are significantly more intelligent than humans. For each category of risk, the authors identify specific hazards and present illustrative stories to provide a clearer understanding of the potential consequences. They also envision ideal scenarios and propose practical suggestions for mitigating these dangers. The goal of this paper is twofold: firstly, to promote a comprehensive understanding of catastrophic AI risks among experts, policymakers, and world leaders; and secondly, to inspire collaborative efforts aimed at minimizing potential catastrophic outcomes while harnessing the benefits offered by advanced AI technology. Overall, this paper provides valuable insights into the various dimensions of catastrophic AI risks and offers practical recommendations for addressing them effectively.