INSIGHTS
Insights and executive perspectives on governance, compliance, technology law, and the responsible adoption of emerging technologies—with artificial intelligence as the current priority domain.
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COMPLIANCE INSIGHTS
Compliance
Having a human in the loop does not automatically create an effective AI control. Meaningful oversight requires judgment, authority, information, escalation pathways, and evidence that the control actually works in practice.
Compliance
AI compliance begins before an AI system generates an output. Organizations need clear rules governing what information may be provided to which AI systems, for what purposes, and under what safeguards.
Compliance
Shadow AI is not only an employee compliance issue. It can also signal that approved tools, policies, training, approval processes, or monitoring do not adequately reflect how work is actually performed.
Compliance
AI compliance should not default to one control function. Effective governance makes business ownership, oversight responsibilities, and independent assurance explicit across the organization.
Compliance
Publishing an AI policy does not mean an organization has an AI compliance program. A real program turns expectations into ownership, controls, training, monitoring, and evidence.
Compliance
AI governance and AI compliance are closely connected, but they perform different organizational functions. Governance sets direction and accountability, while compliance translates those expectations into controls, monitoring, documentation, and evidence.
Compliance
Effective governance and compliance require more than policies and controls. They depend on understanding people, culture, business pressure, and how organizations behave in practice.
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