Distance Learning Center

Educating and Connecting the Health Law Community.

AI and Health Law, Part III: Liability Issues and Data Bias - On Demand Recording

Recorded On: 04/28/2020

Time: 90 minutes
Session Format: On Demand Recording
CLE Credit Available:  No

We do not apply for CLE credit or issue CLE certificates for our past programs and webinar recordings. Please check with your State Bar as to whether self-study credits can be awarded - CLE credit may be obtained by applying directly to the attorney’s state accrediting body, but approval is not guaranteed and is at the discretion of said accrediting body

For on-demand webinar recordings, streaming access is available for 12-months from the date of the live webinar.  After 12-months, on-demand webinar recordings are available through the AHLA Health Law Archive.

Panelists will discuss the extent to which AI should be disclosed to patients as part of informed consent. The session also will explore the significant ambiguity that currently exists related to whether a harm resulting from use of AI should be attributed to product liability or professional liability, including who is or should be the responsible party, implications for the standard of care, and allocation of risk through specific contractual terms. This session also will look at data bias and ethics issues relating to the adoption of AI technologies in health care, including data selection, informed consent, and accuracy of patient-generated data.

Level of Difficulty: Intermediate

  • AHLA Member: $99
  • Non-AHLA Member: $149

Content Lead:

  • AHLA

Marilyn Lamar


Liss & Lamar PC
Oak Brook, IL

Gary Marchant

Regents Professor

Lincoln Professor of Emerging Technologies, Law & Ethics Arizona State University
Phoenix, AZ

Components visible upon registration.

AI and Health Law Convener

AHLA is hosting a day-long convener on AI and Health Law at the Microsoft Innovation & Policy Center in Washington, DC on March 10, 2020. This meeting will bring together more than a dozen thought leaders including regulators, clinicians, private practitioners, and other leading authorities for an in-depth discussion of AI in health care. Although AHLA conveners are closed to the public and press to ensure a full and open dialogue among invited stakeholders, the main perspectives and themes from the discussion will be summarized and consolidated into a white paper that will be distributed to convener attendees, AHLA leaders and members, and the public in early summer 2020. 

AHLA has created an AI and Health Law Hub which is open to the public and includes AHLA publications and other resources pertaining to artificial intelligence and health care.

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