L’initiative phare de la Commission européenne visant à simplifier la législation s’est transformée en une véritable lutte politique, diplomates et fonctionnaires accusant les députés européens de ralentir le processus.
The post À Bruxelles, la bataille pour la simplification législative vire au règlement de comptes appeared first on Euractiv FR.
Bienvenue dans Rapporteur. Je suis Eddy Wax, avec Nicoletta Ionta à Bruxelles. À savoir : Copenhague : les dirigeants de l’UE se réunissent pour un Conseil européen informel afin de discuter de l’Ukraine et de la défense Bruxelles : la Commission et le Parlement s’affrontent sur le paquet « omnibus » visant à réduire les […]
The post Omnibus, omni-blâme appeared first on Euractiv FR.
Despite growing awareness, the global regulation of facial recognition technology (FRT) remains fragmented, much like the governance of Artificial Intelligence (AI). International initiatives from the United Nations (UN), Organisation for Economic Co-operation and Development (OECD), and World Economic Forum (WEF) provide guiding principles but fall short of enforceable standards. On 27 July 2025, UN tech chief Doreen Bogdan-Martin warned that the world urgently needs a global approach to AI regulation, as fragmented efforts risk deepening inequalities.
This policy brief explores how FRT challenges existing governance frameworks due to its rapid development, complexity and ethical implications. Our research shows that delays in regulation are not only caused by the rapid pace of technological change but also by whose voices are included in the debate. In FRT debates, early warnings from civil society about privacy and rights were sidelined until echoed by governments and major tech firms. This lack of representation, as much as the rapid pace of innovation, helps explain why regulation so often lags behind public concerns. To better govern FRT, the policy brief proposes an adaptive and inclusive model that balances flexibility with democratic legitimacy. Adaptive governance, marked
by decentralised decision-making, iterative policy learning, and responsiveness, helps address the uncertainties and evolving risks of narrow AI applications like FRT. Inclusivity is equally critical in legitimising FRT governance.
We propose three policy recommendations to national regulators, multilateral bodies and regional policymakers for future AI governance: (1) require transparent labelling of AI systems,
(2) reframe AI as a societal issue, not just a security tool, and (3) embed civil society in AI governance forums. Taken together, these actions would promote a more proactive, equitable and context-sensitive framework for regulating AI globally. These recommendations are particularly timely ahead of the AI Impact Summit, scheduled for February 2026 in Delhi, which will bring global policymakers together to shape an international vision for AI governance that includes FRT.
Despite growing awareness, the global regulation of facial recognition technology (FRT) remains fragmented, much like the governance of Artificial Intelligence (AI). International initiatives from the United Nations (UN), Organisation for Economic Co-operation and Development (OECD), and World Economic Forum (WEF) provide guiding principles but fall short of enforceable standards. On 27 July 2025, UN tech chief Doreen Bogdan-Martin warned that the world urgently needs a global approach to AI regulation, as fragmented efforts risk deepening inequalities.
This policy brief explores how FRT challenges existing governance frameworks due to its rapid development, complexity and ethical implications. Our research shows that delays in regulation are not only caused by the rapid pace of technological change but also by whose voices are included in the debate. In FRT debates, early warnings from civil society about privacy and rights were sidelined until echoed by governments and major tech firms. This lack of representation, as much as the rapid pace of innovation, helps explain why regulation so often lags behind public concerns. To better govern FRT, the policy brief proposes an adaptive and inclusive model that balances flexibility with democratic legitimacy. Adaptive governance, marked
by decentralised decision-making, iterative policy learning, and responsiveness, helps address the uncertainties and evolving risks of narrow AI applications like FRT. Inclusivity is equally critical in legitimising FRT governance.
We propose three policy recommendations to national regulators, multilateral bodies and regional policymakers for future AI governance: (1) require transparent labelling of AI systems,
(2) reframe AI as a societal issue, not just a security tool, and (3) embed civil society in AI governance forums. Taken together, these actions would promote a more proactive, equitable and context-sensitive framework for regulating AI globally. These recommendations are particularly timely ahead of the AI Impact Summit, scheduled for February 2026 in Delhi, which will bring global policymakers together to shape an international vision for AI governance that includes FRT.
Despite growing awareness, the global regulation of facial recognition technology (FRT) remains fragmented, much like the governance of Artificial Intelligence (AI). International initiatives from the United Nations (UN), Organisation for Economic Co-operation and Development (OECD), and World Economic Forum (WEF) provide guiding principles but fall short of enforceable standards. On 27 July 2025, UN tech chief Doreen Bogdan-Martin warned that the world urgently needs a global approach to AI regulation, as fragmented efforts risk deepening inequalities.
This policy brief explores how FRT challenges existing governance frameworks due to its rapid development, complexity and ethical implications. Our research shows that delays in regulation are not only caused by the rapid pace of technological change but also by whose voices are included in the debate. In FRT debates, early warnings from civil society about privacy and rights were sidelined until echoed by governments and major tech firms. This lack of representation, as much as the rapid pace of innovation, helps explain why regulation so often lags behind public concerns. To better govern FRT, the policy brief proposes an adaptive and inclusive model that balances flexibility with democratic legitimacy. Adaptive governance, marked
by decentralised decision-making, iterative policy learning, and responsiveness, helps address the uncertainties and evolving risks of narrow AI applications like FRT. Inclusivity is equally critical in legitimising FRT governance.
We propose three policy recommendations to national regulators, multilateral bodies and regional policymakers for future AI governance: (1) require transparent labelling of AI systems,
(2) reframe AI as a societal issue, not just a security tool, and (3) embed civil society in AI governance forums. Taken together, these actions would promote a more proactive, equitable and context-sensitive framework for regulating AI globally. These recommendations are particularly timely ahead of the AI Impact Summit, scheduled for February 2026 in Delhi, which will bring global policymakers together to shape an international vision for AI governance that includes FRT.
Horațiu Potra és két családtagja kiadatási eljárásáról tárgyal Románia és az Egyesült Arab Emírségek. Az igazságügyi minisztérium hétfői tájékoztatása szerint az egyesült arab emírségekbeli hatóságok megerősítették Horațiu Potra zsoldosvezér és fia, Dorian Potra, valamint egy másik családtagjuk letartóztatását. A zsoldosvezért, a fiát és egy másik rokonukat, Alexandru Potrát a múlt héten vették őrizetbe a dubaji […]
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