Adverse Trends in Data Ethics: The AI Bill of Rights and Human Subjects Protections

7 Pages Posted: 30 Nov 2022 Last revised: 16 Dec 2022

See all articles by Robin Throne

Robin Throne

Lurie Children's Hospital of Chicago; University of the Cumberlands

Date Written: November 17, 2022


For institutional review boards (IRBs) and human research protection programs (HRPPs) specifically, the ubiquity of artificial intelligence (AI), machine learning (ML), and data mining (DM) within research today have created various and significant challenges for protections of human subjects and human subjects data, including personally identifiable information, in research regulated by U.S. federal agencies. This article presents an analysis of the Blueprint for the AI Bill of Rights released in September 2022 by the White House Office of Science and Technology Policy in the context of human subjects research and PII to address the mounting data ethical issues surrounding AI, ML, and DM, and the implications for IRBs and HRPPs for the protection of human subjects data.

Keywords: Artificial Intelligence, AI, Machine Learning, Data Mining, Human Subjects, Human Subjects Protections, Human Subject Identifiers, Personally Identifiable Information, Data Deidentification, Data Privacy

Suggested Citation

Throne, Robin, Adverse Trends in Data Ethics: The AI Bill of Rights and Human Subjects Protections (November 17, 2022). Available at SSRN: or

Robin Throne (Contact Author)

Lurie Children's Hospital of Chicago ( email )

Stanley Manne Children's Research Institute
225 E. Chicago Avenue
Chicago, IL 60611
United States


University of the Cumberlands ( email )

6178 College Station Drive
Williamsburg, KY 40769
United States


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