Cover: Applying an Equity Lens to Digital Content Transparency and Global AI Standards

Applying an Equity Lens to Digital Content Transparency and Global AI Standards

An Analysis of NIST AI 100-4 and 100-5

Published Jun 17, 2024

by Aisha Najera, Neeti Pokhriyal, Alicia Revitsky Locker, Thao Liz Nguyen

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This paper provides public comment on two National Institute of Standards and Technology (NIST) draft publications on technical approaches for promoting transparency in digital content and developing global artificial intelligence (AI) standards. The authors reviewed NIST AI 100-4 and NIST AI 100-5 and drafted individualized responses to each request for comments. The scope of the requests from NIST varied for each document, ranging from technical approaches to sociotechnical concerns, as well as additional issues for consideration on both topics. This paper addresses the notable demographic disparity evident in the NIST drafts. The authors underscore the absence of discourse on equitable practices within the standards-development process and highlight the insufficient details regarding participatory mechanisms for diverse stakeholders, particularly those from low- and middle-income countries.

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Funding for this work was provided by gifts from RAND supporters. This work was conducted within the Technology and Security Policy Center of RAND Global and Emerging Risks.

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