Chu, Charlene H.Leslie, KathleenShi, JiaminNyrup, RuneBianchi, AndriaKhan, ShehrozRahimi, Samira AbbasgholizadehLyn, AlexandraGrenier, Amanda2023-12-182023-12-182022Chu, C. H., Leslie, K., Shi, J., Nyrup, R., Bianchi, A., Khan, S. S., Rahimi, S. A., Lyn, A., & Grenier, A. (2022). Ageism and artificial intelligence: Protocol for a scoping review. JMIR Research Protocols, 11(6), e33211. https://doi.org/10.2196/33211https://hdl.handle.net/20.500.14078/3297Artificial intelligence (AI) has emerged as a major driver of technological development in the 21st century, yet little attention has been paid to algorithmic biases toward older adults. This paper documents the search strategy and process for a scoping review exploring how age-related bias is encoded or amplified in AI systems as well as the corresponding legal and ethical implications.enAttribution (CC BY)artificial intelligenceageismage-related biasesgerontologyalgorithmssearch strategyhealth databasehuman rightsethicsArticlehttps://doi.org/10.2196/33211