Artificial intelligence (AI) systems have the potential to dramatically improve health outcomes for patients by analyzing enormous amounts of data, identifying patterns and predicting results. To succeed, though, these systems need access to personal and group health data and use complex algorithms that are difficult, and sometimes impossible, to understand. This creates a potential conflict with current ethical standards for the treatment of patients, which emphasize fairness, consent, and privacy. In this workshop, we bring leading AI scientists, philosophers, and bioethicists in this area together to examine these issues and to explore the future directions of this research.
Registration required. Please disregard the closed webform below and instead RSVP here. Please note that space is limited. Please RSVP to express interest. Priority will be given to those who have demonstrated an interest in the area. Confirmations will follow in coming weeks.
For questions about this event, please reach out to bioethics@nyu.edu.
Event Schedule
8:15AM - 9:00AM: Check-in and Light Breakfast
9:00AM - 9:20AM: Opening Remarks, "Introduction to AI Ethics and Healthcare" by S. Matthew Liao, Director of the Center for Bioethics at NYU
9:20AM - 10:10AM: Discussion with Francesca Rossi, AI Ethics Global Leader, IBM Research
10:10AM - 11:00AM: "Just Machine Learning" with Tina Eliassi-Rad, Associate Professor of Computer Science, Northeastern University
11:00AM - 11:20AM: Break
11:20AM - 12:10PM: "Ambient Intelligence in AI-Assisted Healthcare Spaces" with Serena Yeung, Postdoctoral Fellow, Harvard University
12:10PM - 1:00PM: "Accountability in the Use of AI in Medicine: Verifiability in Diagnosis and in Intervention" with Alex John London, Director of the Center for Ethics and Privacy, Carnegie Mellon University
1:00pm - 2:30PM: Break for lunch
2:30PM - 3:20PM: "Should Moral AI Help Us Decide Who Gets a Kidney?" with Walter Sinnott-Armstrong, Chauncey Stillman Professor of Practical Ethics, Duke University
3:20PM - 4:10PM: "Legal and Ethical Issues Raised in the Construction and Use of AI/ML in Health Care" with I. Glenn Cohen, James A. Attwood and Leslie Williams Professor of Law, Harvard Law School
4:10PM - 4:30PM: Break
4:30PM - 5:20PM: "Machine Learning in Patient Care: Implementing Ethical Safeguards" with Effy Vayena, Professor of Bioethics, Swiss Federal Institute of Technology
5:20PM - 6:00PM: Conversation with the speakers
6:00PM - 7:00PM: Reception