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Responsible AI: AI and Health Data

Responsible AI Series: AI and Health Data, November 12, 2019.

Event date is tentative

Artificial intelligence (AI) promises to revolutionize the future of health care. From detection of signs of stroke to suggesting paths for treatment, from predicting seizures to identifying individuals at high risk of domestic violence, AI-based technologies could support doctors in making clinical diagnoses and potentially provide greater access to remote individuals and communities. One particular opportunity made possible by AI is the acceleration of research into predictive models that are driven by the mass exchange and analysis of unstructured health data. However, sharing of health data in this way raises questions of an ethical and human rights nature, including with regard to security and privacy.

Join us for an interview with leading experts on AI and health care data. They will explore the current capabilities of AI in health care and its potential medium and long-term capabilities. Questions to be explored include: What benefits might arise from applying machine learning to health data? How might exchange of data happen ind practice? What steps could physicians, hospitals, and companies take to protect the patients whose is being shared? How should regulators respond? What are the implications for informed consent? This interview will be followed by a Q&A session with audience members.

This is the final event in a three-part AAAS series that is sponsored by Hitachi and aims at exploring artificial intelligence technologies, the current capabilities of the technologies, their ethical, legal and social implications, and the responsibilities of the scientists and engineers developing the technologies.

You do not need a Facebook account to view this event.

Recordings from this series are archived on YouTube and made available on the AAAS website.


Participants to be announced.

A special thank you to our sponsor:


Coming soon!


Event Contact

Joel Ericsen

Program Assistant

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