Module B focuses on the risks AI poses for social fairness and trust: how the use of AI-based tools can generate inequality or dishonesty, particularly when human productions differ in nature (e.g. creative vs.

This document examines how AI-driven content curation and recommendation systems affect the quality of public deliberation.

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).

The purpose of this document is to provide an overview of how AI, big data and frontier technologies impact rights from the data protection perspective.

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.

2.1    Equality

Equality is by-and-large considered both a positive aspect of democracy, and a necessary feature for democracy.

This section presents the KT4D serious game, an interactive tool to engage players with ethical dilemmas surrounding advanced knowledge technologies.