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In the rapidly evolving landscape of artificial intelligence (AI), ensuring robust data security and protecting privacy are paramount concerns. This session delves into the intricate relationship between boards and accountability frameworks necessary to mitigate risks. Participants will explore key topics such as ethical AI development practices, regulatory compliance, and strategies for enhancing transparency and accountability in data handling. Through case studies and expert insights, attendees will gain a comprehensive understanding of how organizations can navigate the complexities of AI deployment while safeguarding sensitive information and maintaining trust with stakeholders.

From Algorithms to Accountability: Addressing Data Security and Privacy Risks in


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