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AI Office capacity will be essential if the EU is to build on the AI Act and ensure the uptake of safe, reliable AI.

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The EU AI Act has built a strong legislative framework. Now the AI Office needs capacity to:. - Monitor systemic risks at the pace of technological change.- Build independent (socio-) technical assessment capabilities.- Maintain meaningful oversight as the market evolves.

In other critical sectors (aviation, nuclear, medicines), effective regulatory oversight requires resourcing in the tens of millions annually. The European AI Office needs similar scale to fulfil its core mandate of protecting EU citizens.

Many are betting on an unprecedented few years of AI progress ahead. If AI is to be as consequential to our societies and democracies as is expected, we should expect its governance to match that of similarly consequential systems.

The European AI Office's promising start in 2024 signals potential, but the pace of AI development and deployment demands more. Regulatory capacity must keep pace.

'If 2023 was the year when AI took centre stage and hit the news and the policy agenda, then 2024 is the year when – to borrow a phrase – the rubber hit the road.'. Read Ada Director @la_gaia’s reflections from the last year and a look ahead to 2025.

To be effective, investment should extend beyond participatory and inclusive governance to the practical (sociotechnical) infrastructure, such as community behaviours.

More time is also needed to develop evidence about the effectiveness of participatory and inclusive mechanisms, and whether they would deliver value if adopted and integrated systematically into data infrastructure and decision-making.

Produced as part of a programme with @CivicDataCoop & @digitalgoodnet, the research finds that more investment is needed to bridge from theoretical work on mechanisms and community initiatives into practice at different scales, from smaller pilots to larger-scale mechanisms.

Our new landscape review examines the foundations of participatory and inclusive data stewardship. The review demonstrates the liveliness of debate around ‘data stewardship’ and aims to support future research and practice.

RT @AISummitFringe: AI Fringe returns in February 2025!. The AI Fringe will be back to delve into the themes and outcomes of the AI Action….

There has been a surge in venture capital investment in start-ups building climate tech solutions. But who benefits from this tech? And what’s the relationship between this investment and climate justice?. Read our new report⬇️.

AI’s climate impact must be tackled now, even if we cannot exactly quantify it. The problem is climate inaction not data problems, write @fedelucivero, @gabriellesamue1 and Mary Pitt. Read their post on the Ada blog⬇️.

AI systems don’t work as one-size-fits-all technologies. Mainstream large language models marginalise linguistic communities and amplify injustices against minoritised groups. Read @HannahMClaus' new blog post on the challenges for minoritised LLMs.⬇️.

RT @NuffieldFound: Today, staff and Trustees at the Foundation, @Nuffbioethics @NuffieldFJO and the @AdaLovelaceInst say goodbye and thank….

Our research draws on the experiences of a range of stakeholders, including local and central government, tech companies, regulators, academia and civil society. Read 'Spending wisely'⬇️.

A complex landscape of guidance and legislation, data challenges, uncertainty about how AI works and how it can be used, and imbalances between local government and the private sector all affect the ability of local government procurers to effectively buy AI technologies.

A national taskforce is needed to deliver urgent reforms to local government procurement of AI. Effective procurement is essential for the responsible use of AI in the public interest, but our new research finds major challenges. Read the report⬇️.

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