Speech Title : Governing AI for Resilient Infrastructure: From Smart Engineering to a Global Geneva AI Framework
Durga P. Chavali is a healthcare technology leader, AI and data strategist, researcher, author, and advocate for responsible artificial intelligence, with nearly two decades of experience spanning enterprise technology, healthcare transformation, cloud platforms, data architecture, analytics, and AI-enabled innovation.
She currently serves as a Senior IT Leader at Trinity Health, where she leads large-scale technology initiatives spanning healthcare applications, enterprise data platforms, AI-enabled clinical and operational solutions, and patient and provider experience. Her work bridges technology, clinical operations, healthcare administration, and enterprise strategy, with a focus on using data and intelligent technologies to improve efficiency, compliance, financial performance, and patient-centered outcomes. Oklahoma State University describes her as a senior information technology leader overseeing cross-functional teams and vendor partnerships delivering large-scale data platforms and AI-enabled solutions.
Chavali's professional expertise includes artificial intelligence, healthcare analytics, enterprise data architecture, cloud transformation, digital health, AI governance, data governance, interoperability, and healthcare modernization. Her technical background spans AI/ML, deep learning, IoMT, blockchain, big-data analytics, and cloud technologies.
As a researcher, Chavali has published peer-reviewed work addressing AI governance, healthcare AI, healthcare interoperability, blockchain, predictive analytics, misinformation, and emerging health challenges. Her research profile lists more than 20 publications, while her work has appeared in venues including IEEE Access, Cureus, and other technology and healthcare journals.
She is also the author of The Nexus of Minds: Unveiling the Significance of AI in Mental Health and Viable Remedies and Healing with Algorithms: The Role of AI in Healthcare, which explore the intersection of artificial intelligence, mental health, healthcare delivery, and emerging technologies.
Chavali is active in the professional technology community. She has served as Vice Chair of the IEEE Engineering in Medicine and Biology Society Southeast Michigan Chapter, serves in leadership with the ACM Fremont Chapter, and contributes to ACM Ubiquity as an editorial contributor. She has also served as a reviewer and judge for technology, healthcare, and AI-related publications and programs.
Her professional recognition includes the Distinguished Research Excellence Award and Breakthrough Innovation Award associated with CISCom/EAMCON 2025, as well as recognition as a Distinguished Fellow of the Soft Computing Research Society. She has also been recognized through Women in Tech initiatives and was nominated for the Women in Tech Global Awards.
A member of The Honor Society of Phi Kappa Phi, Chavali holds a bachelor's degree in Electronics and Communication Engineering and completed her master's degree in Health Care Administration at Oklahoma State University in 2025. She is pursuing doctoral-level studies in Health Care Administration, bringing together technology, healthcare strategy, policy, and organizational leadership.
Her thought leadership increasingly focuses on human-centered AI, trustworthy AI, AI governance, ethical technology adoption, and the responsible integration of intelligent systems into high-stakes environments. She has delivered keynote and invited talks on AI intelligence, healthcare AI governance, and human-centric innovation, including a keynote on “AI Governance for the Healthcare Industry: Building Ethical, Intelligent, and Trustworthy Systems.”
Chavali's central philosophy is that technology should augment human capability rather than replace human judgment. She advocates for AI systems that are transparent, accountable, secure, equitable, and aligned with human values, particularly in sensitive domains such as healthcare, where technological decisions can directly affect patients, clinicians, organizations, and society.