This session offers attendees the opportunity to become more familiar with AI governance through a comparison of emerging AI Governance frameworks. Given that IBM reports only 39% of CEOs think their organization’s AI governance is effective, there is a clear need for data practitioners to learn how to use AI governance frameworks to produce business value, mitigate risk, and improve practices around AI projects. Attendees will gain an understanding of the different frameworks, their strengths and weaknesses, and their applicability to various business scenarios.  We hope that this session will lead to more ethical and compliant AI implementations .By addressing both the strengths and weaknesses of current frameworks, this session will empower data practitioners to advocate for more effective AI governance.  The attendees will be equipped with strategies to select and adapt a framework tailored to the specific needs of their organization.  The presentation also provides a brief history of AI governance, an assessment of leading AI governance frameworks, and recommendations for practitioners designing their own framework.  Attendees will leave with a clear understanding of how different frameworks can mitigate risk, enhance business value, and guide AI project management.