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Foundation Model Transparency Reports

  • Rishi Bommasani
  • , Kevin Klyman
  • , Shayne Longpre
  • , Betty Xiong
  • , Sayash Kapoor
  • , Nestor Maslej
  • , Arvind Narayanan
  • , Percy Liang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 transparency requirements included in six prominent government policies (e.g. the EU AI Act, the US Executive Order on Safe, Secure, and Trustworthy AI). Well-designed transparency reports could reduce compliance costs, in part due to overlapping regulatory requirements across different jurisdictions. We encourage foundation model developers to regularly publish transparency reports, building upon recommendations from the G7 and the White House.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th AAAI/ACM Conference on AI, Ethics, and Society, AIES 2024
EditorsSanmay Das, Brian Patrick Green, Kush Varshney, Marianna Ganapini, Andrea Renda
PublisherAAAI press
Pages181-195
Number of pages15
ISBN (Electronic)1577358929, 9781577358923
StatePublished - 2024
Event7th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2024 - San Jose, United States
Duration: Oct 21 2024Oct 23 2024

Publication series

NameProceedings of the 7th AAAI/ACM Conference on AI, Ethics, and Society, AIES 2024

Conference

Conference7th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2024
Country/TerritoryUnited States
CitySan Jose
Period10/21/2410/23/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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