Meeta Vouk, VP of Product Management AI and Analytics at Teradata and Former Director Product Management and Development AI for IBM Z, brings her unique perspective from years of experience in AI development and implementation to discuss the evolving landscape of artificial intelligence governance. Starting with her background in chip design and work with the Department of Defense, Meeta explains how her journey led her to focus on building ethical AI products and bringing AI to mission-critical workloads.

The conversation delves deep into the challenges of AI governance frameworks, exploring the delicate balance between innovation and regulation. Meeta emphasizes the importance of bias mitigation in AI systems and discusses practical approaches to creating synthetic datasets that help reduce inherent biases while maintaining utility.

Throughout the episode, Meeta addresses critical issues such as AI hallucination, the need for human oversight, and the importance of transparency in AI systems. She presents a vision for the future where AI is ethical, honest, governed, sustainable, and transparent, particularly emphasizing the need for special protections when AI systems interact with children.

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