Artificial Intelligence is revolutionizing many industries, including healthcare. Machine learning carries the promise to improve diagnostics, and potentially other aspects of how we detect and treat disease. At the same time, there are many questions: How do we ensure safety, fairness and privacy concerns as machines begin to make decisions for us? How do we avoid bias in machine learning? Are currecnt regulations sufficient to cover new approaches? And what will AI mean for vulnerable populations, especially in low- and middle-income countries?
As artificial intelligence sweeps into human lives in ever evolving ways, our 2018-19 seminar series brings together academics, innovators and practitioners from the many fields that generate, research or use AI. Our goal is to assess both risks and opportunities. To clarify what questions need to be asked and how we can foster research to answer them. To build bridges and collaborations that will allow us to catch up with yet another technical revolution, and ensure that our values are present and strong in our adaptation to the possibilities and improvements we collectively create.
This series coincides with the Harvard Global Health Institute's newest initiative in Technology & Health, and will include a major convening event on the subject of AI in Healthcare in Low- and Middle-Income Countries.
Missed a talk? Enjoy our write-ups below.
The Rise of AI and the Need for Global Governance -- Nicolas Miailhe, Co-Founder and President, The Future Society
Can Artificial Intelligence Bring More Objectivity to Diagnostics? -- Leo Celi, Co-Director, MIT Sana | Associate Professor of Medicine, Harvard Medical School
Mapping and Repairing the Brain: Implications for Global Health -- Ed Boyden, Y. Eva Tan Professor in Neurotechnology, MIT
Rise of AI in Healthcare Raises Important Questions About Safety, Liability and Privacy -- I. Glenn Cohen, Faculty Director, Petrie-Flom Center for Health Law Policy | Sara Gerke, Research Fellow Petrie-Flom Center for Health Law Policy