Mr. Chakra Pavan Kumar Kota

AI, Privacy, and the Future of Regulation

Abstract:

Artificial Intelligence (AI) is transforming industries at an unprecedented pace, but its reliance on sensitive personal and enterprise data has raised urgent concerns around privacy, compliance, and governance. This talk explores privacy as the next frontier for AI, highlighting how privacy-enhancing technologies (PETs) such as federated learning, differential privacy, and encrypted machine learning are moving from research to enterprise deployment. We will examine the evolving global regulatory landscape—including the EU AI Act, U.S. frameworks, and sector-specific mandates—and discuss practical strategies for embedding PETs into AI pipelines through zero-trust architectures and hybrid deployment models. Emphasis will also be placed on explainability, auditability, and ethical safeguards as critical components of trustworthy AI. The session concludes with a forward-looking perspective on how organizations that adopt privacy-first AI practices today will gain regulatory, competitive, and reputational advantages in the decade ahead.

Profile:

Mr. Chakra Pavan Kumar Kota is a Senior Software Engineer at Jack in the Box. He holds a Master’s degree from the University of Missouri–Kansas City and is pursuing a Ph.D. in Artificial Intelligence and Data Science at the University of the Cumberlands. His expertise includes Artificial Intelligence, Machine Learning, Cybersecurity, and Cloud Computing, and he has served as a reviewer for several reputed journals and conferences, including IEEE.