The Seven Core Principles for Trustworthy AI

This podcast episode focuses on the core principles for trustworthy AI, examining the evolving US regulatory landscape. Seven key principles are highlighted: fairness, explainability, accountability, security, reliability, data privacy, and data integrity. The episode stresses the importance of risk management throughout the AI lifecycle and the crucial role of compliance officers in ensuring adherence to these principles. Practical advice is provided for compliance officers on how to navigate these regulations and build trust in AI systems. The overall aim is to prepare compliance professionals for the challenges and opportunities presented by increasingly prevalent AI technologies

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