The experimental component of Module A aims to further characterise internet users' behaviours when faced with online choices potentially undermining their autonomy: how people evaluate AI-generated information and/or content selected through AI-based algorithms, and how people are influenced by AI-based algorithms in their online choices.

The source, which comprises excerpts from Module A of the KT4D Social Risk Toolkit, explores the complex challenge presented by artificial intelligence to individual autonomy and free will within modern society. It introduces a comprehensive literature review focusing on how highly personalized algorithmic content curation influences personal opinions by exploiting deep-seated human cognitive biases, such as the preference for emotionally charged or explanatory information.