abril 10 2024

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

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.

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