Mohammad Hosseini, one of the panelists, described the new AI with large-language models as a 3-headed Chimera in which
- Head 1 is like a search engine / Librarian who shows you were information is.
- Head 2 is a quick reader who can analyze content and context, but sometimes hallucinates, gets drunk and lies.
- Head 3 is a grammar guru who can also do quick synthesis
Here is a description of the session:
There are abundant possibilities for using large language model technologies such as ChatGPT to improve and expand access to services. But there are risks, including privacy, bias, and unsafe systems that do not work. How might existing and emerging laws address the risks and help us capture the benefits of AI for medicine?
Join I.AIM for a panel discussion with
- Daniel W. Linna Jr., JD, Northwestern Pritzker School of Law and McCormick School of Engineering, and
- Andrea Lee Linna, JD, Partner and Co-Lead of the Digital Health, Technology and Innovation practice group at McGuireWoods LLP. They'll talk about the legal landscape for AI in medicine and will share potential directions for future regulation.
- Cathy Gao, MD, Pulmonary and Critical Care Medicine,
- Mohammad Hosseini, PhD, Postdoctoral Scholar in Preventative Medicine, and
- Alex Carvalho, MD, MPH, Infectious Diseases, will share clinical and ethical perspectives on how legal quandaries of AI technologies may affect healthcare.
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