This interactive explainer introduces the concept of AI-generated deepfake images and provides clues to help the user understand how and why they are created.

Recipe series. 1st describing DITL

Designing tech with friction

Being a facilitator in a deliberative process using AI

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.

Companies have significant influence over public discourse in online platforms, necessitating that the algorithms that shape these online platforms should be regulated and constrained to sufficiently consider the public interest (Susskind, 2018: 350).

This section considers how people’s autonomy and free will are hindered or supported by past and present KTs. By focusing on the structural level, we will examine systemic issues such as monopolies over KTs, data extraction and colonialism, labour, and political participation.

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.