Cracking the Code:
Governance for Model Risk Management in the Age of AI

In a world where algorithms increasingly shape human lives, governance isn't optional. It's urgent. Launched in February 2024, ForHumanity Model Risk Management Working Group is releasing the first certification scheme designed to augment the US Federal Reserve SR 11‑7 Model Risk Management guidance. The ForHumanity MRM Certification Scheme is designed to strengthen existing Model Risk Management frameworks by integrating robust and globally harmonized AI Governance, Oversight, and Accountability for AI, Algorithmic, and Autonomous (AAA) Systems.

Why you cannot afford to miss this webinar

  • Mitigate Regulatory Exposure: Gain a roadmap to align your AI models with the Federal Reserve Model Risk Management SR 11‑7 supervisory guidelines and similar initiatives such as UK Consumer Duty. Meet obligations from newly enacted requirements such as the EU AI Act.
  • Close Gaps in AI Compliance and Risk Exposures: Discover how increased deployment of more advanced AI models gives rise to unseen upstream/downstream risks and best practices to mitigate them with the ForHumanity CORE AAA Governance and MRM certification scheme.
  • Protect Your Reputation and Consumer Trust: Mitigate risks associated with regulatory oversight and brand reputation.
  • Operationalize AI Regulatory Compliance: Best practices to mitigate AI regulatory compliance to identify compliance gaps, surface their root causes and continuously monitor conformance with prescribed compliance protocols to ensure auditability and traceability of compliance obligations.

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Speakers

Michael Simon

Michael Simon

Fellow of ForHumanity and attorney/owner of Law+Data

Ryan Carrier

Ryan Carrier

Chairman of the Board and Executive Director of ForHumanity

Saee Joshi

Saee Joshi

ForHumanity Fellow and Head of Artificial Intelligence/Machine Learning at Barclays

Andrew Pery

Andrew Pery

AI Ethics Evangelist at intelligent automation company ABBYY