AI Governance for Boards — When Accountability Becomes Personal
Artificial Intelligence is no longer governed by intent, principles, or frameworks alone.
In regulated and high-stakes environments, AI governance is tested under audit, incident, and liability pressure.
At that point, accountability shifts from structures to named decision-makers.
Patrick Upmann operates where governance must hold under scrutiny —
not in theory, but in decisions that are signed, documented, and defensible.
The Translator – Patrick Upmann
Translating AI regulation into board-level decision authority Patrick Upmann translates global AI regulation into clear, defensible boardroom decisions. AI regulation is accelerating — from the EU AI Act to ISO/IEC 42001, NIS2, and DORA. Boards and executives are no longer asked to...
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From global regulation to a systemic blueprint for Responsible AI Governance Patrick Upmann is the architect of the world’s first AI Governance Operating System (AIGN OS). His work addresses a structural gap faced by boards, regulators, and...
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From scientific publication to public standard formation in AI Governance Patrick Upmann is a global standardsetter in AI Governance, shaping how Responsible AI is defined, discussed, and operationalised across jurisdictions and industries. His work spans scientific publication (SSRN), institutional discourse,...
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When AI governance decisions must be taken, signed, and defended Artificial Intelligence governance reaches a critical threshold when decisions can no longer be prepared, coordinated, or delegated through committees, policies, or advisory processes.At this point,...
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