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.
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.