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.

The aim of the first three modules of KT4D’s Social Risk Toolkit thus focuses on the individual aspects of this challenge and is multifaceted.

This document examines autonomy as a form of agentive control grounded in attention regulation, goal-directed action, and reflexivity.

The policy brief published by KT4D suggests that examining culture allows for a deeper understanding of societal responses to AI development.

The current EU approach to AI regulation faces several challenges and limitations that need to be addressed.

This document adopts a psychological and cognitive perspective on misinformation and disinformation, focusing on the interaction between cognitive biases, emotional motivations, social communication goals, and contemporary information environments