- Location
- In Person and Live Online
- Series/Type
- DLSPH Event
- Format
- Hybrid
- Dates
- March 27, 2024 from 4:00pm to 5:30pm
Links
The Joint Centre for Bioethics presents…
This event is part of the Lecture Series on Ethics and Governance of AI for Health organized by the University of Toronto Joint Centre for Bioethics in partnership with The Women’s College Hospital Institute for Health System Solutions and Virtual Care (WIHV) and AMS Healthcare.
Full Title: Governing AI: What is data solidarity, and why do we need it?
Speaker: Barbara Prainsack
Barbara Prainsack is a professor at the Department of Political Science at the University Vienna, where she also directs the Centre for the Study of Contemporary Solidarity (CeSCoS), and the interdisciplinary Research Platform “Governance of Digital Practices.” Her work explores the social, ethical, and regulatory dimensions of genetic and data-driven practices and technologies in biomedicine and forensics. Her latest books are: The Pandemic Within: Policy Making for a Better World (with H. Wagenaar, Policy Press, 2021), and Personalized Medicine: Empowered Patients in the 21st Century? (New York University Press, 2017). Barbara is also involved in policy-related work, e.g. as a member of the Austrian National Bioethics Commission, and as Chair of the European Group on Ethics in Science and New Technologies which advises the European Commission. In the academic year 2023/24 she is a Fellow at the Institute of Advanced Study (Wissenschaftskolleg) in Berlin, Germany.
Abstract:
Evidence suggests that ethical AI principles have had only minimal impact so far. What does it take to achieve effective ethical governance of AI? I propose that successful AI governance needs to first get data governance right. I introduce the concept of Data Solidarity, which aims for a more equitable distribution of risks and benefits within and between societies. I discuss policy tools suitable for achieving this objective, and I call for two important shifts: First, individual-level control over data (data individualism) is not the most effective means of protecting people’s interests. Better instruments of collective control are necessary as well. Second, regulation needs to be informed by a clear understanding of the interests and stakes that people have in data beyond their own care. In this way, we can create societies where the benefits of AI are understood and harnessed while the risks of AI use are significantly reduced.
Attendance Details:
Join us on Wed., Mar. 27th, 2024, from 4:00-5:30 pm EST in-person at the Medical Sciences Building (MS2173) located at 1 King’s College Cir, Toronto, ON. The lecture will begin at 4:00pm sharp. The event is free and is open to the general public. The session will also be live-streamed online.
Ticket Details:
The lecture will be IN-PERSON and ONLINE. Due to limited capacity, there are only 80 tickets avaliable for IN-PERSON attendance. This lecture, however, will also be streamed live ONLINE for those who could not acquire in-person tickets or cannot make it in-person. Both ticket options are available for purchase at no cost.
Questions?
Please email Terry Yuen, jcb.ea@utoronto.ca.