Cited by 8Thoreau and American LiteratureDigitalization, Law, and RegulationArtificial Intelligence in Healthcare and Education

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Problematic Interactions Between AI and Health Privacy

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Nicholson Price·2021·Utah Law Review Society

Abstract

The interaction of artificial intelligence (AI) and health privacy is a two-way street. Both directions are problematic. This Essay makes two main points. First, the advent of artificial intelligence weakens the legal protections for health privacy by rendering deidentification less reliable and by inferring health information from unprotected data sources. Second, the legal rules that protect health privacy nonetheless detrimentally impact the development of AI used in the health system by introducing multiple sources of bias: collection and sharing of data by a small set of entities, the process of data collection while following privacy rules, and the use of non-health data to infer health information. The result is an unfortunate anti-synergy: privacy protections are weak and illusory, but rules meant to protect privacy hinder other socially valuable goals. The state of affairs creates biases in health AI, privileges commercial research over academic research, and is ill-suited to either improve health care or protect patients. The health system deeply needs a new bargain between patients and the health system about the uses of patient data.

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Metadata

Authors
Price, N.
Affiliations
University of Michigan (US)
Corresponding author
Nicholson Price
Venue
Utah Law Review Society
Publisher
Utah Law Review Society
Published
2021
OpenAlex
W6908377304
Cited by
8
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 2
FWCI
0.90
Type
journal article
Language
en
Open access
Locations
  • eYLS (Yale Law School) (submittedVersion)
  • SSRN Electronic Journal (submittedVersion)
  • J. Willard Marriott Library
Topics
  • Health Sciences › Health Professions › Health Information Management › Thoreau and American Literature
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
artificial intelligence, patient privacy, de-identification, algorithmic bias, privacy law, health data sharing, commercial research

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CoChat. (2026). Citation check: Problematic Interactions Between AI and Health Privacy. https://app.cochat.ai/papers/10.26054/0d-th4e-sgvq
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Price, N. (2021). Problematic Interactions Between AI and Health Privacy. Utah Law Review Society. https://doi.org/10.26054/0d-th4e-sgvq