Responsible AI Institute

Dr. Heather Domin, HCLTechVice President and Head of Office of Responsible AI and Governance September 8th, 2026 As the head of the Office of Responsible AI and Governance (ORAIG) at HCLTech, I spearhead centralized functions for responsible AI and governance. In this role, I lev

Advanced Micro Devices (AMD), a global semiconductor and AI technology leader, has earned the Organizational AI Governance Verification Badge from the Responsible AI Institute (RAI Institute), a global member-driven nonprofit dedicated to enabling successful responsible AI effort

For the better part of two decades, AI and machine learning have powered the quiet, essential work of financial services. Transaction monitoring, credit scoring, fraud detection, algorithmic trading, risk modeling, and compliance surveillance all rely on well-established machine

Financial services has always been an industry built on trust. Every payment, credit decision, trade, insurance claim, fraud alert, and customer interaction depends on systems that must be reliable, explainable, secure, and accountable. For decades, banks and financial institutio

New Autonomous Finance Initiative will help financial institutions classify, control, and verify autonomous AI systems before production deployment. Austin / New York / London, June 15, 2026 — The Responsible AI Institute, the world’s largest responsible AI non-profit and an inde

Most organizations have some version of an AI governance policy. A review process, a risk committee, maybe a framework document that took months to write. And most of those organizations, if they are being honest, will tell you it was not designed for a system that acts on its ow

This article has been published in the PLI Chronicle: Insights and Perspectives for the Legal Community here, and is republished with permission. Responsible AI in Practice Responsible AI in Practice is a series featuring practical, actionable guidance for teams navigating artifi

This article has been published in the PLI Chronicle: Insights and Perspectives for the Legal Community here, and is republished with permission. Responsible AI in Practice Responsible AI in Practice is a series featuring practical, actionable guidance for teams navigating artifi

As AI systems become more independent, they are starting to do more than follow simple rules. Some now make decisions, delegate tasks, and adjust their goals — all without human approval. These new agentic systems raise new governance challenges that current frameworks are not fu

Meet Liner Liner is a Korea-based global AI software company building AI-powered productivity and search tools for users around the world. As its AI systems became more central to the product experience, the team reached an important realization: performance alone was no longer e

Advanced Micro Devices (AMD) received RAI Institute’s Organizational AI Governance Verification Badge following an independent evaluation of the organization’s AI governance posture, with RAI Institute describing the badge as recognizing enterprise-level accountability, risk management, and ethical standards embedded across the organization.

RAI Institute announced the launch of TrustX for Finance, positioning it as a sector-specific assurance initiative for how autonomous AI systems in financial services are evaluated, controlled, and approved for production.

RAI Institute published an article emphasizing agent risk classification as a governance need for agentic AI and directing readers to TrustX-related guidance.

Liner published a case study describing how it worked with RAI Institute to strengthen AI governance and responsible AI development practices as its AI product scaled internationally.

RAI Institute, Cambridge’s Trustworthy Artificial Intelligence Lab, Health Innovation Kent Surrey Sussex, and The King’s Fund announced TrustX Health, described as an initiative to verify, deploy, and test agentic AI safely in health and care settings.