Authors: Xudong Shen, Hannah Brown, Jiashu Tao, Martin Strobel, Yao Tong, Akshay Narayan, Harold Soh, Finale Doshi-Velez

Published on: June 22, 2023

Impact Score: 8.0

Arxiv code: Arxiv:2306.12609

Summary

• What is new: This paper is one of the first to systematically explore the capacity of AI experts to ensure AI systems comply with regulatory requirements, using public sector procurement checklists as a basis.
• Why this is important: The challenge of regulating AI systems to ensure they adhere to certain values and regulatory requirements.
• What the research proposes: The use of public sector procurement checklists to assess the capability of AI experts in evaluating AI systems for regulatory compliance.
• Results: The findings categorize the requirements into those that are currently addressable by AI experts, those that could be met with future technical advances, and those that require an interdisciplinary approach.

Technical Details

Technological frameworks used: Public sector procurement checklists

Models used: Not specified

Data used: Qualitative analysis of procurement requirements

Potential Impact

Public sector organizations, AI development companies, entities involved in AI regulation and policy-making

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