Artificial Intelligence Litigation: Explainability and Risk Mitigation Challenges for Financial Institutions

Artificial intelligence, particularly generative AI, presents myriad opportunities and challenges for financial institutions. Please join us for this webinar in the Banking & Financial Litigation series as we discuss the following litigation risks:

• Explainability – business or regulatory obligations, and litigation burden, to explain how the AI works;
• Bias – mitigating bias in AI applications;
• Privacy – managing how the data underpinning the AI application is sourced and used;
• Different regulatory approaches – and the complexity in using the same AI application across different jurisdictions; and
• Methods to manage these risks – including governing, explaining and validating models.

CLE credit is pending.

Wednesday, April 10, 2024

United States
12:00 p.m. – 1:00 p.m. EDT
11:00 a.m. – 12:00 p.m. CDT
10:00 a.m. – 11:00 a.m. MDT
9:00 a.m. – 10:00 a.m. PDT

Europe
5:00 p.m. – 6:00 p.m. BST
6:00 p.m. – 7:00 p.m. CEST

Upcoming Webinars in the Series:

• Emerging Trends in Class Actions, Mass Arbitrations and UK/EU Collective Actions
  Thursday, April 18, 11:00 a.m. EDT
• ESG: Developing Challenges for Financial Institutions
  Tuesday, April 23, 12:00 p.m. EDT

For additional information, please contact Kelsi Oliver at koliver@mayerbrown.com or +1 212 506 2791.