# Regulatory Markets for AI Safety

arXiv: https://arxiv.org/abs/2001.00078 · HTML: https://mlsanity.com/paper/2001.00078/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Dec 2019.

## Built on by (most cited first, 13 of 13)

- [Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety](https://mlsanity.com/paper/2104.14235/) (2021)
- [Media and responsible AI governance: a game-theoretic and LLM analysis](https://mlsanity.com/paper/2503.09858/) (2025)
- [Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents](https://mlsanity.com/paper/2504.08640/) (2025)
- [Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation](https://mlsanity.com/paper/2403.09510/) (2024)
- [Exploring the Relevance of Data Privacy-Enhancing Technologies for AI Governance Use Cases](https://mlsanity.com/paper/2303.08956/) (2023)
- [An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI](https://mlsanity.com/paper/2310.14455/) (2023)
- [Real-World Gaps in AI Governance Research](https://mlsanity.com/paper/2505.00174/) (2025)
- [Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice](https://mlsanity.com/paper/2108.06217/) (2021)
- [Evolutionary mechanisms that promote cooperation may not promote social welfare](https://mlsanity.com/paper/2408.05373/) (2024)
- [Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability](https://mlsanity.com/paper/2408.08448/) (2024)
- [Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety](https://mlsanity.com/paper/2303.03174/) (2023)
- [A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and Institutionalized](https://mlsanity.com/paper/2108.07804/) (2021)
- [Safe Transformative AI via a Windfall Clause](https://mlsanity.com/paper/2108.09404/) (2021)

## Abstract (arXiv)

We propose a new model for regulation to achieve AI safety: global regulatory markets. We first sketch the model in general terms and provide an overview of the costs and benefits of this approach. We then demonstrate how the model might work in practice: responding to the risk of adversarial attacks on AI models employed in commercial drones.