Sort by
Filtered results
- 8 results found
Sort by
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 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.
This section examines how people develop trust – or distrust – in knowledge technologies. This section considers three main aspects.
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.
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
Knowledge technologies, as distinct from information technologies, have been defined in the Module C of the social risk toolkit.
Describes the difference between efficiency and democratic effectiveness