Artificial Intelligence and Disability/Dependency
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Equity, Access, and Interdependence
Online Viewing
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Description
This event highlighted the challenges and opportunities in harnessing artificial intelligence (AI) technologies to serve the needs of individuals with disabilities and dependencies. AI can improve the lives of people with disabilities, such as smart devices supporting people with physical disabilities or sight loss. On the other hand, AI outputs can also reflect discriminatory biases present in the underlying data used to develop the algorithms. While this “garbage in, garbage out” principle is well documented in respect to AI and gender or race, it is understudied in respect to disability or dependencies.
Interdisciplinary panels of legal scholars, ethicists, AI developers, medical and service providers, and advocates with disabilities/ dependencies explored best practices and guidelines for stakeholders, guided by ethical principles, legal considerations, and the needs of people with disabilities/ dependencies. Participants sought to articulate clear criteria for developers and medical providers looking to harness the potential of AI to serve individuals with disabilities/ dependencies, including those whose disabilities/ dependencies are the result of aging, injury, or disease, and the caregivers — including both professionals and unpaid friends and families — who support some of these individuals.
This webinar was free and open the public.
Agenda
1:00 – 2:00pm, Panel 1: AI and Disability
2:00 – 3:00pm, Keynote
- Geralyn Miller, Director of Health Strategy, Microsoft AI for Good Research Lab
3:00 – 3:45pm, Panel 2: AI and Dependency
Learn More!
Slide Presentations
- Noll Campbell, “Artificial Intelligence & Disabilities: Cognitive Impairment and Dementia”
- Sharona Hoffman, “AI and Long-Term Health Predictions: Legal & Ethical Concerns”
- Ari Ne’eman, “To What Point and Purpose?: Competing Goals in the Context of Artificial Intelligence and Disability”
- Ranak Trivedi, “Bridging the Gap Between Artificial Intelligence and Natural Connections”
Sponsored by the Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School; the Harvard Law School Project on Disability (HPOD); the Edmond J. Safra Center for Ethics at Harvard University; the Regenstrief Institute; and the Presence at the Stanford University School of Medicine. Support provided by the Oswald DeN. Cammann Fund at Harvard University.