As AI governance frameworks mature, much of the discussion has focused on obligations: documentation, transparency, risk management, and accountability.
These are necessary foundations.
…The Apply AI Alliance is as a multi-stakeholder forum engaged in large discussion of all aspects of AI development and its impact on the economy and society.
As AI governance frameworks mature, much of the discussion has focused on obligations: documentation, transparency, risk management, and accountability.
These are necessary foundations.
…DG CNECT has launched a stakeholder survey to gather insights on the use of AI in healthcare and pharmaceuticals, focusing on the benefits, enabling…

The rapid rise and subsequent correction of the autonomous agent market provides a crucial case study in operational security. Only a few months ago, professional networking feeds…
There is a risk we have not yet named properly.
We have named bias. We have named opacity. We have named accountability gaps. The EU AI Act, the UNESCO Recommendation, the emerging global…
The draft guidelines on high-risk AI classification address classification criteria thoroughly. There is one enforcement gap that deserves specific attention before the guidelines are finalised.<…
In a near-future scenario, a human being may reach first sustained human contact only after hundreds of interactions with AI systems. This paper examines the governance implications of that…
I. Two Documents, One Obligation
On 25 May 2026, Pope Leo XIV published Magnifica Humanitas — his first encyclical,…

This IAPP chartanalyzes the intersection of privacy and AI governance, revealing similarities, differences and valuable insights: https://iapp…

The global market data released in May 2026 demonstrates an extraordinary shift in how everyday productivity is defined and measured. With Google processing over 3.2 quadrillion…

This article was published initially on OECD’s AI Wonk by Antoine-Alexandre André, Guillermo Hernández and Lucia Russo.
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