Framework for Democratic AI Governance: Roadmap and recommendations for European policymakers

This policy brief focuses on short-term action (2026-2028) around AI governance and provides practical guidelines for experts and policymakers. It introduces a framework that embeds democratic pillars — participation, freedom, equality, transparency, knowledge, and the rule of law — directly into the entire AI lifecycle.

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Recommendation Algorithms Explainer

The Recommendation Algorithms explainer aims to demonstrate how algorithms work on social media platforms. It allows the users to simulate their experience on a social media platform, where their choices shape a personalised feed.

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Module C: Historical perspective – Attention

This section analyses how different knowledge technologies impact people’s attention and, consequently, their decisions regarding which information is worth storing and remembering, and which is instead forgotten or not even registered in the first place.

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Designing the Whole Process: Embedding AI Without Undermining Democracy (Recipe from the Digital Democracy Lab Handbook)

This recipe is about designing an entire democratic process—not just the AI tool within it. When AI is introduced into a deliberative setting, the surrounding process needs to change too: not just to make the AI work, but to make sure the democracy works.

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Risks to individual freedoms of speech and action

Since our liberal democracies generally employ forms of representativeness to their institutions, the impact of AI on free and fair elections is also one of the key ways in which technology affects our polities. The level of acceptance of the results from the elections - the legitimacy of the outcome - rests largely on how those who end up with less power shares in the representative system see the fairness of the election process itself.

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