What are the Essential Components of an AI Governance Framework?

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What AI governance frameworks are already working?
How can organizations track and understand where AI is being used within their operations?
Our expert panel discusses the importance of establishing a robust AI governance framework within a company. They emphasize that data governance should be the foundation, ensuring transparency, ethical use, accountability, compliance, and risk management. The speakers highlight the need for understanding where AI is being used within an organization, considering potential risks and unintended uses, and involving diverse perspectives across functions like legal, regulatory, and quality teams. Implementing cross-functional teams and promoting data literacy are also presented as critical components of an effective AI governance strategy.
This is a key takeaway from the Insight Jam 2024 Q2 Mini Jam panel, "AI Governance: Ethics, Privacy & Trust". Check out the full discussion here: • 🔴 AI Governance: Ethic...
Panelists:
Tom Mighell - Analytcs Strategy Consultant & Educator - Contoural
Gaurav Pathak - VP Product Management AI & Metadata - ‪@InformaticaCorp‬
Jitender Aswani - VP of Engineering - ‪@StarTree‬
Matt Kunkel - Chief Executive Officer - ‪@LogicGateRiskCloud‬
Roy Wilsker - Technical Fellow - Retired
Stephen Gatchell - Senior Director, Data Advisory - ‪@bigidinc1013‬