Roles And Responsibilities

Roles and responsibilities in AI governance define who owns decisions, oversight, and accountability across AI systems within an organization. Clear assignment of these functions ensures that model development, deployment, risk assessment, and compliance activities have designated owners with appropriate authority and expertise. This structural clarity prevents gaps in governance, reduces confusion during incidents, and supports regulatory compliance by establishing traceable accountability chains.

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ResearchGlobal2026-07-28

PwC Netherlands Publishes Integrated AI Governance Blueprint Combining Inventory, Literacy, and Accountability in One Operating Model

PwC Netherlands has published a case study describing how it built an organization-wide AI governance program covering a full AI system inventory, structured AI literacy training, and a formal risk management blueprint with defined roles and responsibilities. The case study is intended to serve as a replicable template for enterprise compliance teams. It addresses three governance workstreams that many organizations manage in isolation rather than as a unified program.

PwC AI inventory AI literacy roles and responsibilities risk management EU AI Act governance operating model