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581 results · page 25 of 25

AI Governance
IAPP · · International

The AI governance conversation is happening in the wrong room

A piece published through the IAPP argues that current AI governance discussions are taking place in forums or among stakeholders that exclude key voices, suggesting the existing deliberative spaces are misaligned with the breadth of interests at stake.

Who should care: AI governance · Lawyers · Administrators · General readers · Policy

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AI Governance
IAPP · · International

Amendments move Colorado AI Act's focus from risk to transparency

Proposed amendments to Colorado's AI Act would shift the law's regulatory emphasis away from risk-based obligations for developers and deployers toward transparency and disclosure requirements, representing a notable recalibration of how the state approaches AI governance.

Who should care: AI governance · Lawyers · Administrators · General readers · Policy

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AI Governance
Privacy Commissioner of Canada · · Canada

Building trust: Privacy and AI governance - Remarks by the Privacy Commissioner of Canada to the Victoria International Privacy and Security Summit

Canada's Privacy Commissioner delivered remarks at the Victoria International Privacy and Security Summit addressing the intersection of privacy protection and AI governance, framing trust-building as central to responsible AI development under Canadian law.

Who should care: AI governance · Lawyers · Administrators · General readers · Policy · Privacy officers

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AI Governance
OECD AI Policy Observatory · · International

To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle

An OECD analysis argues that meaningful participation in AI governance requires more than one-time consultation, calling instead for community authority and structured oversight spanning an AI system's full lifecycle — from design through deployment and decommissioning.

Who should care: AI governance · Lawyers · Administrators · General readers · Policy

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AI Governance
OECD AI Policy Observatory · · International

Why AI Sandboxes matter for responsible innovation and public trust

The OECD has published analysis on AI regulatory sandboxes, examining how controlled testing environments can allow governments and developers to experiment with AI systems under regulatory supervision while managing risk and building compliance frameworks.

Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy

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