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.

This document examines autonomy as a form of agentive control grounded in attention regulation, goal-directed action, and reflexivity.

Gamified tool designed to address the social and cultural implications of AI development.

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.

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.

This section analyses how different knowledge technologies impact people’s creativity. Here creativity is intended as the ability to express themselves in a way that is both truthful to what they feel and believe, as well as the power to experiment with artistic creation.

This section examines how people develop trust – or distrust – in knowledge technologies. This section considers three main aspects.

This section analyses how different knowledge technologies impact people’s attention and, consequently, their decisions regarding which information is worth storing and remembering, and which is instead forgotten or not even registered in the first place.