Journal article
STRATEGIES TO MITIGATE MACHINE LEARNING BIAS AFFECTING OLDER ADULTS: RESULTS FROM A SCOPING REVIEW
Abstract
Abstract
Digital ageism, defined as age-related bias in artificial intelligence (AI) and technological systems, has emerged as a significant concern for its potential impact on society, health, equity, and older people’s well-being. This scoping review aims to identify mitigation strategies used in research studies to address age-related bias in machine learning literature. We conducted a scoping review following Arksey & O’Malley’s methodology, …
Authors
Chu C; Donato-Woodger S; Khan S; Leslie K; Shi T; Nyrup R; Grenier A
Journal
Innovation in Aging, Vol. 7, No. Supplement_1, pp. 717–718
Publisher
Oxford University Press (OUP)
Publication Date
December 21, 2023
DOI
10.1093/geroni/igad104.2325
ISSN
2399-5300