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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 interactive explainer introduces the concept of AI-generated deepfake images and provides clues to help the user understand how and why they are created.
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.
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.
There are both instrumental and intrinsic reasons to value democracy. In short, democracy is valuable instrumentally because
When we think of freedom or ‘liberty’ we typically think of it in certain ways: e.g., freedom to act as we please, freedom from harm or interference, freedom of thought, or freedom to be a member of a community (Susskind, 2018: 165).