Coherence among governance efforts is key to unlocking AI opportunity, particularly in a shifting geopolitical environment. It reinforces governance priorities and simplifies implementation; hastens and deepens shared expectations for best practices and assurance; and strengthens partnership among diverse stakeholders, including AI developers and deployers, policymakers, and civil society. When governance is strong, trust follows—and with it, broader and more responsible use of AI for society’s benefit.
In AI governance, clarity and alignment is needed to avoid negative outcomes from fragmentation and geopolitical volatility. Across history, shared frameworks have fueled progress toward coherence—by providing common language, enhancing coordination, and defining collective building blocks towards desired outcomes.
Building on recent momentum, like the French international AI governance statement and cartography, and recognizing a need for shared frameworks to help stakeholders understand and coherently shape a dynamic AI policy landscape, we are introducing and seeking feedback on three conceptual tools: the AI Governance Stack, the AI Governance Map, and Anchors and Hooks frameworks. Together, they address the why, what, how, and who of governance.
As elaborated in a Zero Draft Paper [link to download], these tools support shared understanding, identify gaps and opportunities, and promote greater interoperability across AI governance efforts. They’re designed to evolve with the landscape—and to help those shaping it do so with greater clarity, coordination, and impact.
Coherence among governance efforts is key to unlocking AI opportunity, particularly in a shifting geopolitical environment. It reinforces governance priorities and simplifies implementation; hastens and deepens shared expectations for best practices and assurance; and strengthens partnership among diverse stakeholders, including AI developers and deployers, policymakers, and civil society. When governance is strong, trust follows—and with it, broader and more responsible use of AI for society’s benefit.
In AI governance, clarity and alignment is needed to avoid negative outcomes from fragmentation and geopolitical volatility. Across history, shared frameworks have fueled progress toward coherence—by providing common language, enhancing coordination, and defining collective building blocks towards desired outcomes.
Building on recent momentum, like the French international AI governance statement and cartography, and recognizing a need for shared frameworks to help stakeholders understand and coherently shape a dynamic AI policy landscape, we are introducing and seeking feedback on three conceptual tools: the AI Governance Stack, the AI Governance Map, and Anchors and Hooks frameworks. Together, they address the why, what, how, and who of governance.
As elaborated in a Zero Draft Paper [link to download], these tools support shared understanding, identify gaps and opportunities, and promote greater interoperability across AI governance efforts. They’re designed to evolve with the landscape—and to help those shaping it do so with greater clarity, coordination, and impact.
Coherence among governance efforts is key to unlocking AI opportunity, particularly in a shifting geopolitical environment. It reinforces governance priorities and simplifies implementation; hastens and deepens shared expectations for best practices and assurance; and strengthens partnership among diverse stakeholders, including AI developers and deployers, policymakers, and civil society. When governance is strong, trust follows—and with it, broader and more responsible use of AI for society’s benefit.
In AI governance, clarity and alignment is needed to avoid negative outcomes from fragmentation and geopolitical volatility. Across history, shared frameworks have fueled progress toward coherence—by providing common language, enhancing coordination, and defining collective building blocks towards desired outcomes.
Building on recent momentum, like the French international AI governance statement and cartography, and recognizing a need for shared frameworks to help stakeholders understand and coherently shape a dynamic AI policy landscape, we are introducing and seeking feedback on three conceptual tools: the AI Governance Stack, the AI Governance Map, and Anchors and Hooks frameworks. Together, they address the why, what, how, and who of governance.
As elaborated in a Zero Draft Paper [link to download], these tools support shared understanding, identify gaps and opportunities, and promote greater interoperability across AI governance efforts. They’re designed to evolve with the landscape—and to help those shaping it do so with greater clarity, coordination, and impact.
