Ramesh Kumar Ramu

Building Trustworthy Generative AI: Responsible Governance for Enterprise and Healthcare

Abstract:

Generative AI is rapidly transforming enterprise and healthcare environments by enabling intelligent automation, decision support, scientific collaboration, and more effective use of organizational data; however, its adoption in regulated and high-stakes environments introduces significant challenges involving data privacy, hallucinations, algorithmic bias, transparency, security, compliance, and accountability. 
This talk presents a governance-first approach to responsible Generative AI adoption, drawing on research analyzing 397 AI implementation cases across enterprise and healthcare settings.
It examines how governance maturity, human-in-the-loop oversight, monitoring, access controls, transparency, and multidisciplinary accountability influence AI reliability and operational risk.
The session also introduces a practical governance architecture integrating policy controls, identity and consent management, secure system integration, and continuous audit and monitoring, demonstrating how organizations can balance innovation with safety, regulatory compliance, accountability, and trust while deploying Generative AI in critical business and healthcare workflows.

Profile:

Ramesh Kumar Ramu is a technology professional, independent researcher, and Senior IEEE Member with more than 23 years of experience delivering enterprise technology solutions across healthcare, biopharma, insurance, and technology industries. His expertise spans artificial intelligence, enterprise applications, digital transformation, solution architecture, cloud and collaboration technologies, and large-scale technology program management. His current work includes managing GxP, and Eenterprise applications and driving AI initiatives supporting research and cross-functional scientific workflows in the biopharmaceutical industry. His research interests include Responsible and Generative AI, AI governance, trustworthy enterprise AI adoption, and AI applications in healthcare and biopharma. He has published research on Responsible Generative AI governance and AI-powered drug discovery and contributes to the international technical community through peer reviewing research papers and serving on technical program committees for international conferences.

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