Regulatory Markets for AI Safety
By Jack Clark, Gillian K. Hadfield. 2019
43 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, Economics and Econometrics, Safety Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Percy Liang
- Mohit Bansal
- Yoshua Bengio
- Jianfeng Gao
- Luke S. Zettlemoyer
- Yejin Choi
- Noah A. Smith
- Sergey Levine
In Economics and Econometrics
- F. Kroeger
- David Krueger
- Adrian Weller
- Yoshua Bengio
- Jack Clark
- Peter Eckersley
- Tegan Maharaj
- Haydn Belfield
In Safety Research
- F. Kroeger
- Amanda Askell
- Adrian Weller
- Yoshua Bengio
- Pang Wei Koh
- Peter Eckersley
- Miles Brundage
- Gillian K. Hadfield
Citations in the corpus
- Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (2020, background): “One way that third party auditing could connect to government policies, and be funded, is via a "regulatory market" [42].”