Ageism in AI: Research and Intervention Roadmaps

publication

Author Information

Author(s): Clara Berridge, Dr. Stypinska, Dr. Gallistl, Dr. Brewer, Dr. Grigorovich

Primary Institution: Oxford University Press US

AI applications may pose risks to older adults that are not well understood in relation to other identity markers like race and gender.

A multi-pronged approach is necessary to address the various ways ageism is reflected and amplified in AI.

AI can reproduce or introduce ageism.
A framework identifying five forms of ageism in AI was presented.
Research priorities for gerontological research were discussed.
Intersectionality affects older adults' experiences with AI.
Ethical implications of location tracking technologies in dementia care were highlighted.

This study talks about how technology can sometimes treat older people unfairly, and we need to find better ways to help them use it safely.

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