Artificial Intelligence & Law Colloquium: Frank Pasquale

Monday, February 8 at 12:00pm to 1:00pm

Virtual Event

Data Informed Duties in AI Development

Frank Pasquale
Professor of Law, Brooklyn Law School

Law should help direct—and not merely constrain—the development of artificial intelligence (AI). One path to influence is the development of standards of care both supplemented and informed by rigorous regulatory guidance. Such standards are particularly important given the potential for inaccurate and inappropriate data to contaminate machine learning. Firms relying on faulty data can be required to compensate those harmed by that data use—and should be subject to punitive damages when such use is repeated or willful. Regulatory standards for data collection, analysis, use, and stewardship can inform and complement generalist judges. Such regulation will not only provide guidance to industry to help it avoid preventable accidents. It will also assist a judiciary that is increasingly called upon to develop common law in response to legal disputes arising out of the deployment of AI.

About the Colloquium
Machine learning and automated decision-making technologies (colloquially dubbed "artificial intelligence" or "AI") are an increasingly integral feature of social systems. These technologies raise novel legal questions regarding oversight, individual rights, liability and justice. The UCI Law Colloquium on AI & Law brings to campus leading thinkers engaged with these issues.

Zoom details will be sent upon registration.

This activity has been approved for MCLE in the amount of 1.0 hour, as appropriate to the content of the activity. UCI Law is a State Bar approved MCLE provider and certifies that this activity conforms to the standards for approved education activities prescribed by the rules and regulations of the State Bar of California governing MCLE. A link to the MCLE Record of Attendance will be sent via Zoom chat at the end of the webinar. A link to the MCLE Certificate of Attendance will be sent in the confirmation email upon completion of the Record of Attendance. Attendees must have participated in the program in its entirety to receive MCLE credit. Partial credit will not be given. For more details, please email

To request reasonable accommodations for a disability, please email

Video Recording


Event Type



Students, Staff, Faculty, Alumni, General Public






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