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In this episode of the Corruption, Crime & Compliance podcast, Michael Volkov examines how companies can design and implement a best-in-class AI Use Policy to manage the rapidly evolving risks associated with artificial intelligence. As organizations deploy AI tools across business functions, Volkov explains why traditional governance approaches fall short and outlines a practical framework for effective oversight, including risk-based classification of AI use cases, strict data protection controls, human accountability, and safeguards against bias and discrimination. He emphasizes the importance of cross-functional governance, employee training, and continuous monitoring, highlighting that AI policies must be operational, not theoretical. The episode’s key takeaway: companies can leverage AI to enhance productivity and innovation—but must maintain clear controls to ensure compliance, protect sensitive data, and preserve accountability.
By Michael Volkov4.9
4242 ratings
In this episode of the Corruption, Crime & Compliance podcast, Michael Volkov examines how companies can design and implement a best-in-class AI Use Policy to manage the rapidly evolving risks associated with artificial intelligence. As organizations deploy AI tools across business functions, Volkov explains why traditional governance approaches fall short and outlines a practical framework for effective oversight, including risk-based classification of AI use cases, strict data protection controls, human accountability, and safeguards against bias and discrimination. He emphasizes the importance of cross-functional governance, employee training, and continuous monitoring, highlighting that AI policies must be operational, not theoretical. The episode’s key takeaway: companies can leverage AI to enhance productivity and innovation—but must maintain clear controls to ensure compliance, protect sensitive data, and preserve accountability.

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