Repository logo
 

Digital ageism: challenges and opportunities in artificial intelligence for older adults

Simple item page
dc.contributor.authorChu, Charlene H.
dc.contributor.authorNyrup, Rune
dc.contributor.authorLeslie, Kathleen
dc.contributor.authorShi, Jiamin
dc.contributor.authorBianchi, Andria
dc.contributor.authorLyn, Alexandra
dc.contributor.authorMcNicholl, Molly
dc.contributor.authorKhan, Shehroz
dc.contributor.authorRahimi, Samira
dc.contributor.authorGrenier, Amanda
dc.date.accessioned2023-12-18T18:56:47Z
dc.date.available2023-12-18T18:56:47Z
dc.date.issued2022
dc.description.abstractArtificial intelligence (AI) and machine learning are changing our world through their impact on sectors including health care, education, employment, finance, and law. AI systems are developed using data that reflect the implicit and explicit biases of society, and there are significant concerns about how the predictive models in AI systems amplify inequity, privilege, and power in society. The widespread applications of AI have led to mainstream discourse about how AI systems are perpetuating racism, sexism, and classism; yet, concerns about ageism have been largely absent in the AI bias literature. Given the globally aging population and proliferation of AI, there is a need to critically examine the presence of age-related bias in AI systems. This forum article discusses ageism in AI systems and introduces a conceptual model that outlines intersecting pathways of technology development that can produce and reinforce digital ageism in AI systems. We also describe the broader ethical and legal implications and considerations for future directions in digital ageism research to advance knowledge in the field and deepen our understanding of how ageism in AI is fostered by broader cycles of injustice.
dc.identifier.citationChu, C. H., Nyrup, R., Leslie, K., Shi, J., Bianchi, A., Lyn, A., McNicholl, M., Khan, S., Rahimi, S., & Grenier, A. (2022). Digital ageism: Challenges and opportunities in artificial intelligence for older adults. The Gerontologist, 62(7), 947-955. https://doi.org/10.1093/geront/gnab167
dc.identifier.doihttps://doi.org/10.1093/geront/gnab167
dc.identifier.urihttps://hdl.handle.net/20.500.14078/3295
dc.language.isoen
dc.rightsAttribution (CC BY)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBias
dc.subjectGerontology
dc.subjectMachine learning
dc.subjectTechnology
dc.titleDigital ageism: challenges and opportunities in artificial intelligence for older adultsen
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Chu-digital-ageism-challenges-artificial-intelligence.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Download

Collections

Department of International Business, Marketing, Strategy and Law