This report provides background information on artificial intelligence and machine learning (AI/ML) and outlines a proposed framework to evaluate the safety of these technologies in consumer products. It outlines efforts underway and recommended future actions the CPSC can take to identify safety concerns with AI/ML technologies.
Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.
Descriptive information to help identify this report.
Follow the links below to find similar items on the Digital Library.
Description
This report provides background information on artificial intelligence and machine learning (AI/ML) and outlines a proposed framework to evaluate the safety of these technologies in consumer products. It outlines efforts underway and recommended future actions the CPSC can take to identify safety concerns with AI/ML technologies.
This report is part of the following collection of related materials.
Artificial Intelligence (AI) Policy Collection
The Artificial Intelligence (AI) Policy Collection contains open access resources that provide policy overviews, implementation plans, guiding frameworks, and resources for implementing artificial intelligence and machine learning in a wide range of environments. This collection includes documents published by Federal agencies, non-governmental organizations, international, state, and local governments.
Consumer Product Safety Commission (U.S.).Artificial Intelligence and Machine Learning In Consumer Products,
report,
May 19, 2021;
(https://digital.library.unt.edu/ark:/67531/metadc2289499/:
accessed September 10, 2026),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
