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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.
This document examines autonomy as a form of agentive control grounded in attention regulation, goal-directed action, and reflexivity.
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.
The policy brief published by KT4D suggests that examining culture allows for a deeper understanding of societal responses to AI development.
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.
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