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Artificial Intelligence and machine learning are now integral to a wide range of products and services across industries, such as health care, financial services, life science, retail, and manufacturing. By enabling computer systems to analyze vast quantities of data, recognize patterns, autonomously perform tasks, and learn from experience, these technologies are transforming the way humans use and interact with machines and benefit from their incredible processing power and speed.  

What do lawyers need to know about the technology underlying artificial intelligence and the mechanics of machine learning? What’s so important about data set creation and acquisition? How are companies actually using Artificial Intelligence in different products and services? What questions should lawyers ask when confronted with AI systems that are making “decisions” that carry inherent risks, such as criminal guilt and tort liability? And how should organizations address the ethical issues raised by autonomous systems, such as data privacy, transparency, algorithmic fairness, and bias? This course answers these questions, among others, and will enable attorneys to more effectively advise their clients and serve as valued business partners within their organization.

Join us and earn MCLE credit and a Certificate of Completion from UC Berkeley!

Location & Dates


Live Sessions

Program Schedule

Fall 2023 Dates To Be Announced

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.

Session 1 Introduction to AI
Session 2 Mechanics of Machine Learning and the Importance of Data
Session 3 Deep Dive (topic TBD)

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.

Session 1 AI Applications – What Kind of Problems can AI Solve and What are the Capabilities and Limitations of Various AI Techniques?
Session 2 The Heart of AI and Your Biggest Risk: Dataset Creation and Acquisition
Session 3 Deep Dive: How Are Companies Using Large Datasets?

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.

Session 1 Evolving Regulations of the AI Ecosystem
Session 2 Evaluation and Diligence on Training Datasets
Session 3 Evaluation and Diligence on 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.

Session 1 Global Competition for AI Supremacy and the Impact on Regulatory Schemes
Session 2 US Privacy and Data Protection in AI Datasets
Session 3 Global Privacy and Data Protection in AI Datasets

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.

Session 1 Vulnerability of AI Systems to Adversarial Attack and the Associated Liabilities
Session 2 Bias Considerations in AI Development
Session 3 Ethical Considerations in AI Development: Who Should Regulate? Where Do We Draw the Line?
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

$2,550 Save 15%

Non-profit / Government / University Employee Rate

$2,200 Save 26%

Junior Attorney Rate

Applies to lawyers practicing for six years or less

$1,500 Save 50%


$1,500 Save 50%

Group Discount

  • A group discount is available for organizations that register three or more individuals.
  • Cannot combine discounts.

Please email us at 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 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.



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)

Headshot of Genie Barton

Genie Barton

Founder and Principal at Privacy Genie Consultancy

Headshot of Lilith Bat-Leah

Lilith Bat-Leah

Vice President, Data Services at Digital Prism Advisors, Inc.

Headshot of Rebecca Brackman

Rebecca Brackman

Deputy Public Defender at Contra Costa County Public Defenders Office

Headshot of Holly Brady

Holly Brady

Counsel at Hunton Andrews Kurth

Headshot of Kay Firth-Butterfield

Kay Firth-Butterfield

Head of AI and Machine Learning and Member of the Executive Committee at World Economic Forum

Headshot of Ramya Chandrasekhar

Ramya Chandrasekhar

Research Fellow at the Berkeley Center for Law & Technology

Headshot of Mark Cohen

Mark Cohen

Director, Distinguished Senior Fellow and Lecturer at Berkeley Law

Headshot of Cynthia Cole

Cynthia Cole

Partner at Baker McKenzie

Headshot of Jim Dempsey

Jim Dempsey

Lecturer at UC Berkeley Law School and Senior Policy Advisor at Stanford Cyber Policy Center

Headshot of Allison Duettmann

Allison Duettmann

President & Executive Director at the Foresight Institute

Headshot of Nigel Duffy

Nigel Duffy

Machine Learning and AI Scientist, Engineer, Entrepreneur, and Executive

Headshot of Yuan Hao

Yuan Hao

Senior Fellow / Director, Berkeley-China IP and Technology Law Engagement at Berkeley Center for Law & Technology

Headshot of Nitin Kohli

Nitin Kohli

Postdoctoral Scholar at UC Berkeley Center for Effective Global Action

David Marglin

Counsel to the Ombudsman at ICANN

Headshot of Hon. Nazak Nikakhtar

Hon. Nazak Nikakhtar

Partner at Wiley

Headshot of Mark Nitzberg

Mark Nitzberg

Executive Director | Center for Human-Compatible AI at UC Berkeley

Headshot of Osagie K. Obasogie

Osagie K. Obasogie

Professor at Berkeley Law

Headshot of Jayne Ponder

Jayne Ponder

Associate at Covington & Burling

Headshot of Aurelien Portuese

Aurelien Portuese

Director, Schumpeter Project on Competition Policy at ITIF

Headshot of Matt Prindible

Matt Prindible

Director of Research at Transformation of the Human (ToftH)

Headshot of James Reuther

James Reuther

VP of Technology at Aeva

Headshot of Andrea Roth

Andrea Roth

Professor at Berkeley Law

Headshot of Nicole Wolters Ruckert

Nicole Wolters Ruckert

Counsel at Allen & Overy

Headshot of Kendra Schaefer

Kendra Schaefer

Head of Tech Policy Research at Trivium China

Headshot of Karen Silverman

Karen Silverman

CEO and Founder at The Cantellus Group

Headshot of Mark Smolik

Mark Smolik

Chief Legal Officer at DHL Supply Chain Americas

Headshot of Wayne Stacy

Wayne Stacy

Executive Director, Berkeley Center For Law & Technology

Headshot of Matthew Stepka

Matthew Stepka

Managing Partner, Machina Ventures

Headshot of Josh Lee Kok Thong

Josh Lee Kok Thong

Managing Director, Asia-Pacific at the Future of Privacy Forum

Headshot of Elizabeth Vasquez

Elizabeth Vasquez

Director of Science and Surveillance Project at Brooklyn Defender Services

Headshot of Miriam Vogel

Miriam Vogel

President & CEO of EqualAI

Headshot of Kate Weber

Kate Weber

Interim Global Policy Lead for Core & Emerging Technologies at Google


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