Emerging AI Legal Issues (SC)

LAW7769
Section 1, Spring 25

Schedule Information

Enrollment: 11/13
Credits: 1
Days Date Time Room

Thu

 		02/13/2025 1540-1815 SL131

Fri

 		02/14/2025 1130-1250 SL131

Thu

 		02/20/2025 1540-1815 SL131

Fri

 		02/21/2025 1130-1250 SL131

Thu

 		02/27/2025 1540-1815 SL131

Fri

 		02/28/2025 1130-1250 SL131

Course Description

The legal and regulatory environment governing the development, deployment and use of AI is rapidly evolving. This course will explore some of the most pressing issues in the areas of AI governance, AI safety, intellectual property protection, privacy, and regulated industries. It will explore approaches at the US state and federal levels, in other jurisdictions (Europe and Asia) and at the international level.

Course Requirements

Exam Information

Final Type (if any): Flex

Description: A flex exam will be available for check-out from SRO during business hours from March 3-7, 2025. Students must check-out the exam from SRO at a time allowing finalization of the upload process to EXPO by 5:00pm.

Other Work

Students are expected to do the readings before each class, take active part in discussions

Other Course Details

Prerequisites: None Concurrencies: None

Exclusive With: None

Laptops Allowed: Yes

First Day Attendance Required: Yes

Course Resources: To be announced via Canvas.

Graduation Requirements

Satisfies Understanding Bias/Racism/Cross-Cultural Competency requirement: Yes

Satisfies Writing Requirement: No

Credits For Prof. Skills Requirement: No

Satisfies Professional Ethics: No

Additional Course Information

Schedule No.: 125218764

Modified Type: UVA Law Seminar

Cross Listed: No

Waitlist Count: 0

Concentrations: Business Organization and Finance , Law and Technology

Evaluation Portal Via LawWeb Opens: Tuesday, February 18, 12:01 AM

Evaluation Portal Via LawWeb Closes: Sunday, March 02, 11:59 PM

Information reflected on this page was last refreshed at: Monday, April 28, 2025 - 7:04 AM *

*During open enrollment periods, live enrollment data may be found in SIS.