276.23S sec. 001 - Fundamentals of AI Technology (Summer 2025)
Instructor: Brandie Nonnecke
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Units: 2
Grading Designation: Graded
Mode of Instruction: In-Person
Meeting:
MTuWThF 2:00 PM - 4:35 PM
Location: Law 145
From June 30, 2025
To July 14, 2025
Class Number: Click to show Class Number
Enrollment info:
Enrolled: 13
Waitlisted: 0
Enroll Limit: 30
As of: 04/03 07:14 PM
Taught by AI governance expert Brandie Nonnecke, PhD, this course provides lawyers with a foundational understanding of artificial intelligence and machine learning, covering the continuum from narrow AI to the theoretical frontier of strong AI. Learners will explore the essential types of machine learning—including supervised and unsupervised learning, reinforcement learning, and deep learning—gaining insights into how these technologies operate, their real-world applications, and the legal implications that come with their use. This course is designed to demystify AI concepts, empowering legal professionals to engage knowledgeably with AI-related cases, policies, and ethical considerations.
Brandie Nonnecke, PhD is Founding Director of the CITRIS Policy Lab, headquartered at UC Berkeley. She is an Associate Research Professor at the Goldman School of Public Policy (GSPP) where she directs the Tech Policy Initiative, a collaboration between CITRIS and GSPP to strengthen tech policy education, research, and impact. Brandie is the Director of Our Better Web, a program that supports empirical research, policy analysis, training, and engagement to address the rise of online harms. She serves as co-director at the Berkeley Center for Law and Technology at Berkeley Law and the UC Berkeley AI Policy Hub. Brandie is the host of TecHype, a groundbreaking video and audio series that debunks misunderstandings around emerging technologies and the laws and policies that shape them. Her research has been featured in Science, Wired, NPR, BBC News, MIT Technology Review, Buzzfeed News, among others. Brandie received the SF Business Times INSPIRE Award for her leadership in AI in 2024 and was named one of the 100 Brilliant Women in AI Ethics in 2021.
Exam Notes: (TH) Take-home Final Exam
(Subject to change by faculty member only through the first two weeks of instruction)
Course Category: AI Law and Regulation
This course is listed in the following sub-categories:
Intellectual Property and Technology Law
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