Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Artificial Intelligence
2024-03-28 v2 Computers and Society
Abstract
There is increasing attention being given to how to regulate AI systems. As governing bodies grapple with what values to encapsulate into regulation, we consider the technical half of the question: To what extent can AI experts vet an AI system for adherence to regulatory requirements? We investigate this question through the lens of two public sector procurement checklists, identifying what we can do now, what should be possible with technical innovation, and what requirements need a more interdisciplinary approach.
Keywords
Cite
@article{arxiv.2306.12609,
title = {Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities},
author = {Xudong Shen and Hannah Brown and Jiashu Tao and Martin Strobel and Yao Tong and Akshay Narayan and Harold Soh and Finale Doshi-Velez},
journal= {arXiv preprint arXiv:2306.12609},
year = {2024}
}
Comments
scheduled for publication in the Communications of the ACM, titled "Directions of Technical Innovation for Regulatable AI Systems"