On April 21, 2020, Avi Gesser and Anna Gressel,  along with our special guest, Matthew Homer, the Executive Deputy Superintendent of the New York Department of Financial Services Research and Innovation Division, discussed how companies can identify and reduce the regulatory and reputational risks associated with their AI programs, including:

  • AI regulatory and enforcement trends
  • Best practices for AI governance, training, testing, data security, transparency, documentation, oversight and appeal rights
  • Developments in explainability and bias detection

Here is the link to the Webcast: Debevoise Webcast on AI Regulation — Discussion with Matthew Homer of NYDFS

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Author

Avi Gesser is Co-Chair of the Debevoise Data Strategy & Security Group. His practice focuses on advising major companies on a wide range of cybersecurity, privacy and artificial intelligence matters. He can be reached at agesser@debevoise.com.

Author

Anna R. Gressel is a senior associate and a member of the firm’s Data Strategy and Security Group and its FinTech and Technology practices. Her practice focuses on representing clients in regulatory investigations, supervisory examinations, and civil litigation related to artificial intelligence (“AI”) and other emerging technologies. Ms. Gressel has a deep knowledge of regulations, supervisory expectations, and industry best practices with respect to AI governance and compliance. She regularly advises boards and senior legal executives on governance, risk, and liability issues relating to AI, privacy, and data governance. She can be reached at argressel@debevoise.com.

Author

Matthew Homer is the Executive Deputy Superintendent of the New York Department of Financial Services Research and Innovation Division.