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Updated: Sep 20, 2025

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
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Ageism and Artificial Intelligence: Protocol for a Scoping Review.

Charlene H Chu1,2,3, Kathleen Leslie4,5, Jiamin Shi1,6

  • 1Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.

JMIR Research Protocols
|June 9, 2022
PubMed
Summary
This summary is machine-generated.

This scoping review examines age-related bias in artificial intelligence (AI) systems, highlighting legal and ethical concerns. Findings will inform equitable AI development for an aging population.

Failed At:

2026-06-19T13:39:35.277557+00:00

Keywords:
age-related biasesageismalgorithmsartificial intelligenceethicsgerontologyhealth databasehuman rightssearch strategy

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