{"id":38391,"date":"2026-02-17T12:24:47","date_gmt":"2026-02-17T17:24:47","guid":{"rendered":"https:\/\/marymount.edu\/academics\/?p=38391"},"modified":"2026-02-17T12:24:47","modified_gmt":"2026-02-17T17:24:47","slug":"center-researchers-publish-call-to-advance-equitable-speech-technologies-for-older-adults","status":"publish","type":"post","link":"https:\/\/marymount.edu\/academics\/center-researchers-publish-call-to-advance-equitable-speech-technologies-for-older-adults\/","title":{"rendered":"Center Researchers Publish Call to Advance Equitable Speech Technologies for Older Adults"},"content":{"rendered":"
Researchers from the Center have contributed to a newly published article in\u00a0<\/span>The Gerontologist<\/span><\/i>\u00a0calling for greater linguistic equity in the development of speech-based technologies for older adults. The article, titled\u00a0<\/span>\u201c<\/span><\/i>Equitable speech technologies for older adults: a call to prioritize low-resource languages<\/span><\/i><\/a>,\u201d<\/span><\/i>\u00a0was published on<\/span> December 29, 2025, as part of a Gerontological Society of America (GSA) special issue on Artificial Intelligence and Aging.<\/span>\u00a0<\/span><\/p>\n Authored by Catherine Diaz-Asper, PhD<\/a>,\u00a0<\/span>Mahederemariam\u00a0Dagne, MS<\/a>, and Patricia C. Heyn, PhD, FGSA, FACRM<\/a>, the paper examines how recent advances in artificial intelligence can support healthy aging through non-invasive, scalable tools that promote social engagement,\u00a0assist\u00a0with daily living, and aid in disease detection.<\/span>\u00a0<\/span><\/p>\n Despite this promise, the authors note that most speech-based AI models are trained\u00a0almost exclusively\u00a0on\u00a0<\/span>English-language datasets,<\/span>\u00a0excluding over one billion older adults worldwide who speak non-English, low-resource languages. This linguistic imbalance limits access to emerging technologies, contributes to delayed diagnoses, and\u00a0exacerbates\u00a0existing health care inequities among aging populations.<\/span>\u00a0<\/span><\/p>\n The article emphasizes the urgent need to curate speech datasets in<\/span>\u00a0low-resource languages,<\/span>\u00a0guided by principles of community agency,\u00a0equitable\u00a0benefit sharing, and long-term sustainability. The authors argue that inclusive data practices are essential to ensuring speech technologies serve diverse older adults and advance equity in health care innovation.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" Researchers from the Center have contributed to a newly published article in\u00a0The Gerontologist\u00a0calling for greater linguistic equity in the development of speech-based technologies for older adults. The article, titled\u00a0\u201cEquitable speech technologies for older adults: a call to prioritize low-resource languages,\u201d\u00a0was published on December 29, 2025, as part of a Gerontological Society of America (GSA) special […]<\/p>\n