What is an AI governance framework?
An AI governance framework is a structured set of policies, oversight mechanisms, and accountability lines that an organization uses to manage AI risk and maintain stakeholder trust. It typically covers policy definition, oversight committee structure, risk audit cadence, disclosure obligations, and remediation procedures.
Does the EU AI Act apply to US companies?
Yes — if your organization operates in Europe, sells to European customers, or processes data from EU residents, the EU AI Act applies regardless of where you're headquartered. Penalties reach €35M or 7% of global annual revenue, whichever is higher.
Who should own AI governance in a company?
Ultimately the board. Operationally, a cross-functional AI council with executive sponsorship from the CEO or CTO. Governance that lives only in IT or Legal rarely has the authority it needs to be effective.
What is enterprise AI governance?
Enterprise AI governance applies organizational-scale controls to AI deployment across all business units — covering risk management, compliance, ethics, transparency, and audit processes for every AI system in production.
How do you build an AI governance committee?
Start with cross-functional membership (Legal, IT, Risk, HR, Business), a clear mandate from the board, defined escalation paths, and a quarterly review cadence. The committee needs authority, not just advisory status.
What's the difference between AI ethics and AI governance?
Ethics defines principles. Governance operationalizes them — the policies, processes, and accountability structures that make ethical commitments enforceable and auditable. You can have ethics without governance; you cannot have meaningful governance without ethics.
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