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CLE

Diversity in Artificial Intelligence: Progress and Challenges - Part 7

schedule 2h 28m signal_cellular_alt All Levels category Investment Management verified 23 credits available
event
Monday, February 16, 2026 12:00am ET
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About This Course

This live CLE webinar offers accessible yet thorough coverage of diversity in artificial intelligence: progress and challenges - part 7.

Participants will gain a deep understanding of the fundamental concepts, current best practices, and emerging trends in this area. The program addresses real-world challenges practitioners face and provides concrete strategies for handling common situations effectively.

Specifically designed for investment management professionals, this course covers both foundational principles and advanced applications. Through clear explanations and practical examples, you will develop the skills needed to confidently navigate complex issues and deliver superior results for your clients or organization.

Key topics include regulatory requirements, compliance considerations, strategic decision-making, and risk management. Whether you are new to this area or looking to update your knowledge, this program provides the insights and tools necessary for success in today's evolving professional landscape.

Presented By

MT

Michael T. Roberts open_in_new

Senior Partner • Sullivan & Cromwell LLP

Mr. Roberts focuses on corporate governance and securities law with over 25 years of experience advising Fortune 500 companies.

Credits & Accreditations

Jurisdiction Credit Type Credits
Alabama General 2.0
Alaska General 3.0
Arizona General 2.0
Arkansas General 1.5
California Ethics 1.0
Colorado Diversity 2.5
Connecticut General 3.0
Florida General 2.0
Idaho Diversity 3.0
Kansas Ethics 1.5
Kentucky Ethics 2.5
Louisiana Ethics 2.5
Nebraska General 3.0
New Hampshire General 1.5
New Jersey General 2.0
North Carolina General 1.5
Oklahoma Ethics 3.5
Puerto Rico General 1.5
Utah General 3.5
Virginia General 1.0
Washington Ethics 2.5
Wisconsin General 1.0
Wyoming Ethics 3.0
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