The 2nd Annual Responsible AI Summit North America marks a pivotal shift in how organizations approach Responsible AI: not as a supplementary safeguard, but as a foundational requirement for implementing and scaling AI systems. As AI becomes deeply embedded across enterprises, responsibility is no longer confined to technical teams. Rather, it is a shared, cross-disciplinary practice. This year’s summit focuses on real-world governance, technical safeguards, and operational workflows that enable innovation while maintaining accountability.
Expect candid, cross-sector dialogue that goes beyond internal conversations—so you leave with practical insights, sharper perspectives, and a stronger sense of community shaping how AI is built and governed responsibly. Download the 2026 agenda here.
Operating between a rock and a hard place: with Citi & Intuit on how to keep pace with rapid AI innovation while enforcing governance, controls, & accountability.
Translating fragmented and fast-moving U.S. AI regulation into clear, practical enterprise action with insight from Center for AI Digital Policy.
Defining ownership, accountability, & liability across vendors, third-party models, data providers, & open-source components with insight from Instacart, Olympus Corporation and SCAN.
Moving beyond compliance to align governance, risk, and controls with business value and strategic outcomes with insight from Walmart, Lowe's, and Xcel Energy.
This summit is designed for enterprise leaders responsible for enabling AI innovation at scale while managing governance, security, risk, and regulatory accountability. Reflecting how this work happens in practice, the event is organized across two integrated streams, one focused on technical implementation and one on governance and oversight, bringing both perspectives together across the AI lifecycle.
Focused on risk-based, audit-ready governance that can keep pace with AI speed: covering accountability, regulatory navigation, third-party oversight, and operating models for agentic and invisible AI.
Dedicated to the post-deployment realities, agent control planes, monitoring and evaluations, security, and defending increasingly autonomous systems.