Location & Dates
Online
Live SessionsProgram Schedule
Program Benefits
- Gain a foundational understanding of AI and its near and long-term applications;
- Learn how AI datasets are created, acquired, and used;
- Learn how AI algorithms are evaluated and trained;
- Become familiar with the complex, global regulatory landscape defining the AI Ecosystem;
- Discover what can go wrong with AI systems;
- Explore how AI technology intersects with the law, ethics, and public policy;
- Earn MCLE credit and a certificate of completion.
Program Structure
This interactive online program is designed to maximize opportunities for learning, discussion, and networking.
- Each half-day of programming is comprised of three sessions, which will begin at 8:30 AM and end around 12:30 PM Pacific Time.
- Each session will consist of a 50-minute presentation followed by a 20-minute Q&A discussion with the speaker or panelists.
- Breaks are scheduled between each session.
Post Program Webinars
The learning doesn’t stop when the program ends on November 8th. Participants of the Berkeley Law AI Institute will be invited to attend three, specially curated webinars that will take place on a quarterly basis beginning in early 2023.
- Topics: Timely discussions related to AI and the law (exact topics to be announced)
- Format: Webinars with Q&A
- Schedule: Approximately every three months starting in early 2023 (exact dates to be announced)
- Duration: 60-90 minutes
- Additional Cost: None! These optional webinars are open to all Berkeley Law AI Institute participants
2022 Course Design
Day 1
Understanding AI Technology
The first day introduces the subject of Artificial Intelligence and explores the topic from a number of perspectives.
Day 2
Understanding AI Applications, Training & Datasets
The second day explores the vast and growing AI ecosystem and focuses on the importance of training algorithms and dataset creation.
Day 3
Product Development and Technology Transfer: The Impact of AI on Legal Strategies
Day three focuses on the rapidly evolving regulatory landscape shaping the AI ecosystem, as well as the evaluation of, and diligence on, training datasets and the effectiveness of algorithms.
Day 4
Impact of Global Regulatory Schemes on AI Development
The final two days focus on AI as it relates to societal, ethical and legal issues.
Day 5
Cautions in AI Development
The final day of the program focuses on liabilities stemming from AI system vulnerabilities, how the existence of bias should inform AI product development, and ethical considerations of AI systems.
Program agenda and speakers subject to change without notice.
2022 Tuition
General Tuition
Berkeley Law Alumni
Applies to past participants of paid Berkeley Law Exec Ed programs
Non-profit / Government / University Employee Rate
Junior Attorney Rate
Applies to lawyers practicing for six years or less
Judges
Group Discount
- A group discount is available for organizations that register three or more individuals.
- Cannot combine discounts.
Please email us at executive@law.berkeley.edu for more information.
Course Financing
If you are interested in financing this course, Sallie Mae provides competitive education loan programs for credit qualified borrowers. For more information and to apply, visit the Sallie Mae website. If you decide to pursue such financing, please submit your application to Sallie Mae first and then contact us at executive@law.berkeley.edu. We will provide additional instructions on completing your registration.
Certificates & MCLE
Certificate Type
Certificate of Completion
Participants will earn a Certificate of Completion from Berkeley Law Executive Education.
MCLE
17.75
This program has been approved for up to 18 hours of MCLE credit by the State Bar of California. Attorneys from other states will need to contact their local bar to verify their own certification requirements.
2022 Speakers (partial list)
Genie Barton
Founder and Principal at Privacy Genie Consultancy
Lilith Bat-Leah
Vice President, Data Services at Digital Prism Advisors, Inc.
Rebecca Brackman
Deputy Public Defender at Contra Costa County Public Defenders Office
Holly Brady
Counsel at Hunton Andrews Kurth
Kay Firth-Butterfield
Head of AI and Machine Learning and Member of the Executive Committee at World Economic Forum
Ramya Chandrasekhar
Research Fellow at the Berkeley Center for Law & Technology
Mark Cohen
Director, Distinguished Senior Fellow and Lecturer at Berkeley Law
Cynthia Cole
Partner at Baker McKenzie
Jim Dempsey
Lecturer at UC Berkeley Law School and Senior Policy Advisor at Stanford Cyber Policy Center
Allison Duettmann
President & Executive Director at the Foresight Institute
Nigel Duffy
Machine Learning and AI Scientist, Engineer, Entrepreneur, and Executive
Yuan Hao
Senior Fellow / Director, Berkeley-China IP and Technology Law Engagement at Berkeley Center for Law & Technology
Nitin Kohli
Postdoctoral Scholar at UC Berkeley Center for Effective Global Action
David Marglin
Counsel to the Ombudsman at ICANN
Hon. Nazak Nikakhtar
Partner at Wiley
Mark Nitzberg
Executive Director | Center for Human-Compatible AI at UC Berkeley
Osagie K. Obasogie
Professor at Berkeley Law
Jayne Ponder
Associate at Covington & Burling
Aurelien Portuese
Director, Schumpeter Project on Competition Policy at ITIF
Matt Prindible
Director of Research at Transformation of the Human (ToftH)
James Reuther
VP of Technology at Aeva
Andrea Roth
Professor at Berkeley Law
Nicole Wolters Ruckert
Counsel at Allen & Overy
Kendra Schaefer
Head of Tech Policy Research at Trivium China
Karen Silverman
CEO and Founder at The Cantellus Group
Mark Smolik
Chief Legal Officer at DHL Supply Chain Americas
Wayne Stacy
Executive Director, Berkeley Center For Law & Technology
Matthew Stepka
Managing Partner, Machina Ventures
Josh Lee Kok Thong
Managing Director, Asia-Pacific at the Future of Privacy Forum
Elizabeth Vasquez
Director of Science and Surveillance Project at Brooklyn Defender Services
Miriam Vogel
President & CEO of EqualAI
Kate Weber
Interim Global Policy Lead for Core & Emerging Technologies at Google
Presented By:
