Sabrina ShihAI Integration Lead
Standards consortium · Funders · Austin, Texas · Est. 2016
The Responsible AI Institute (RAI Institute) is a U.S.-based, member-driven nonprofit “do tank” focused on making responsible AI governance practical through independent assessment, verification, and standards-aligned assurance programs. RAI Institute’s core offering, TrustX, is described as a member-led framework that helps organizations classify agentic AI risk, validate governance with evidence, and issue third-party trust badges (i.e., independent assurance rather than self-attestation).
The institute also runs sector initiatives (TrustX Health and a TrustX for Finance initiative) and publishes governance resources and programs through its membership community and annual working-session conference (RAISE). Strategically, RAI Institute positions itself as vendor-neutral and standards-aligned, with an emphasis on operationalizing responsible AI controls against referenced global standards and frameworks.
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AUSTIN, TEXAS — October 22, 2026: The Responsible AI Institute (RAI) today announced that it has joined the working group developing the Agent Control Standard (ACS), an emerging open standard from the OWASP GenAI Security Project (https://genai.owasp.org) for intercepting agent
Responsible AI Institute Adds Three Leaders to Governing Board for the Agentic AI EraAvivah Litan, Cameron Davies and Harvard Business School Professor Suraj Srinivasan bring expertise spanning AI risk and assurance, enterprise-scale AI deployment, and board accountability AUSTIN, TEXAS — September 15, 2026 — The Responsible AI Institute (RAI) today announced the
Leaders in Responsible AI: A Member’s StoryDr. 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
AMD Earns Responsible AI Institute Organizational AI Governance Verification BadgeAdvanced 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
Setting the Rules of the Road for Autonomous FinanceFor 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
Building Trust in Autonomous Finance Through Industry CollaborationFinancial 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
Responsible AI Institute Launches TrustX for Finance to Bring Verifiable Trust to Autonomous AI in Financial ServicesNew 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
Why Is Agent Risk Classification So Important?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
Agentic AI Governance Lessons from Financial ServicesThis 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
Agentic AI Readiness Checklist for Enterprise TeamsThis 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
RAI Institute announced the appointment of Avivah Litan, Cameron Davies, and Harvard Business School Professor Suraj Srinivasan to its Governing Board, positioning the change as strengthening leadership across AI risk/security, enterprise-scale deployment, and corporate accountability.
Leaders in Responsible AI: A Member’s Story (Heather Domin, HCLTech)RAI Institute published a member story with Heather Domin (HCLTech), describing her role leading responsible AI and governance functions and the purpose of the Office of Responsible AI and Governance.
AMD Earns Responsible AI Institute Organizational AI Governance Verification BadgeRAI Institute announced that AMD earned the “Organizational AI Governance Verification Badge,” describing it as an independent evaluation of AI governance posture and alignment to standards.
Responsible AI Institute Launches TrustX for Finance to Bring Verifiable Trust to Autonomous AI in Financial ServicesRAI Institute announced the launch of TrustX for Finance, described as a sector-specific assurance initiative for evaluating, controlling, and approving autonomous AI in financial services prior to production deployment.
New national Agentic AI initiative launched for health and care by Health Innovation KSS, University of Cambridge, Responsible AI Institute and The King’s Fund (TrustX Health)RAI Institute announced TrustX Health as an initiative intended to verify, deploy, and test agentic AI safely across health and care settings within the NHS/social care context, including a badge described as independently enabled and supported by a verification architecture for monitoring and renewal.