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

We adopt a systematic approach to map the entanglement between past and present knowledge technologies and culture. Unlike many contemporary discussions that focus on specific issues or technological applications (such as deepfakes or photo manipulation), we map the entirety of past and present knowledge technologies to identify trends, general divergences, and similarities.

Module C of the Toolkit has two primary objectives: First, to understand AI and big data within the context of a long history of interactions between technological affordances and cultural norms, values, and practices. This recognises that knowledge technologies—such as written language, the printing press, television, radio, etc.—have shaped culture and knowledge production. The relationship between technology and culture is fundamentally mutual and reciprocal. Second, building upon the first objective, Module C focuses on the particular definition of AI and big data as advanced knowledge technologies (AKTs). We analyse the past in this module to better understand the present and—potentially—to anticipate what may lie ahead.

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.

There are both instrumental and intrinsic reasons to value democracy. In short, democracy is valuable instrumentally because