Enterprise Responsible AI Council
ERAC convenes enterprise AI leaders, risk officers, policy experts, and civil society to develop shared standards and frameworks for responsible AI deployment at scale.
A New Model for AI Governance
No single organization can adequately govern the societal dimensions of enterprise AI alone. The development of shared norms, industry-wide standards, and policy-relevant research requires collective institutional capacity. This is the foundational rationale for ERAC.
The Enterprise Responsible AI Council is a structured, multi-stakeholder council that brings together enterprise AI leaders, chief risk officers, legal and compliance professionals, academic researchers, and civil society representatives under a shared governance framework.
ERAC produces public-good outputs, including governance frameworks, assessment tools, and policy recommendations, designed to serve the entire enterprise AI governance ecosystem, not just member organizations.
"Responsible AI governance cannot be achieved by enterprises working in isolation. ERAC provides the multi-stakeholder convening infrastructure that enterprise AI governance requires."
Multi-Stakeholder by Design
Enterprise AI Leaders
Chief AI Officers, heads of AI strategy, and senior technology leaders from enterprise organizations across sectors.
Risk & Compliance Professionals
Chief Risk Officers, AI governance leads, and compliance directors navigating AI-related regulatory obligations.
Policy & Legal Experts
Legal professionals, regulatory affairs specialists, and policy researchers engaged with AI legislation and standards.
Academic & Civil Society
Research institutions and civil society organizations providing independent, public-interest perspectives on AI governance.
Four Pillars of ERAC Work
ERAC operates through four working pillars, each addressing a distinct dimension of enterprise AI governance.
Governance Standards Development
Developing, reviewing, and publishing practical governance frameworks, assessment tools, and policy templates aligned with ISO/IEC 42001 and international best practice. All outputs are made publicly available.
️ AI Risk Frameworks
Producing applied research on AI risk identification, classification, and treatment, including sector-specific risk frameworks for financial services, healthcare, energy, and public administration.
Accountability Mechanisms
Developing tools and methodologies for AI impact assessment, algorithmic auditing, and accountability reporting, supporting organizations in demonstrating responsible AI deployment to regulators and the public.
️ Policy Engagement
Producing policy briefs, regulatory comment submissions, and engagement with legislative processes at national and international levels, ensuring enterprise AI governance perspectives inform emerging AI policy.
Apply for ERAC Membership
ERAC membership is open to enterprises, civil society organizations, research institutions, and public sector bodies committed to advancing responsible AI governance. Member organizations gain access to advance draft frameworks and research, working group participation, benchmarking data, and peer learning networks.