Foundation Model Transparency Reports
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Betty Xiong, Sayash, Kapoor, Nestor Maslej, Arvind Narayanan, Percy Liang

TL;DR
This paper proposes a framework for transparency reports for foundation models, inspired by social media practices, to improve accountability and regulatory compliance in AI development and deployment.
Contribution
It introduces a set of design principles and a transparency index for foundation models, aligning industry practices with regulatory requirements.
Findings
Identified 6 design principles for transparency reports.
Mapped 100 transparency indicators to regulatory policies.
Showed potential for reducing compliance costs through standardized reporting.
Abstract
Foundation models are critical digital technologies with sweeping societal impact that necessitates transparency. To codify how foundation model developers should provide transparency about the development and deployment of their models, we propose Foundation Model Transparency Reports, drawing upon the transparency reporting practices in social media. While external documentation of societal harms prompted social media transparency reports, our objective is to institutionalize transparency reporting for foundation models while the industry is still nascent. To design our reports, we identify 6 design principles given the successes and shortcomings of social media transparency reporting. To further schematize our reports, we draw upon the 100 transparency indicators from the Foundation Model Transparency Index. Given these indicators, we measure the extent to which they overlap with the…
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Taxonomy
TopicsEthics and Social Impacts of AI · Privacy, Security, and Data Protection · Information and Cyber Security
