John Snow Labs 52d ago

AI governance is becoming fragmented while AI systems are becoming global. The risk is no longer model capability alone, but inconsistent rules, accountability gaps, and ungoverned deployment. Durga Chavali (IT Leader & AI Researcher at Oklahoma State University) presents the Geneva AI Framework: a governance model designed to address fragmented regulation, weak accountability, and the growing gap between AI capability and institutional oversight. Timestamps 00:00 The global AI governance gap 03:50 Fragmented regulation: EU, US, China, UK, India, Canada 06:40 Why AI needs shared global rules 09:10 The Geneva AI Framework 12:10 AI stewardship, accountability, and sensitive-sector risks 13:15 Responsible innovation and global coordination The core argument is structural: AI systems now operate across borders, industries, and decision environments, while governance remains local, inconsistent, and reactive. The result is regulatory fragmentation, uneven safety standards, and unclear liability when systems fail. The framework draws parallels between international war conventions and AI governance, arguing that healthcare, finance, and public-sector AI increasingly require globally aligned safeguards around transparency, explainability, human oversight, bias mitigation, and accountability. A major focus is the missing operational layer inside enterprise AI adoption: stewardship. Not just model development, but ownership, intervention authority, auditability, and responsibility when AI-generated decisions cause harm. The presentation also explores: - EU AI Act vs US governance philosophy - China, UK, India, and Canada regulatory approaches - Accountability for AI-generated decisions - Human oversight and stewardship layers - Cross-border AI governance alignment - Why responsible AI governance is not anti-innovation The central claim is simple: without shared governance principles, AI optimisation scales faster than institutional control. 📌 Applied Healthcare AI Summit 2026 — what actually works in real-world healthcare AI, from pilots to production systems. #AIGovernance #ResponsibleAI #HealthcareAI #AIRegulation #EthicalAI #EnterpriseAI #EUAIAct