Companies have significant influence over public discourse in online platforms, necessitating that the algorithms that shape these online platforms should be regulated and constrained to sufficiently consider the public interest (Susskind, 2018: 350).

This section considers how people’s autonomy and free will are hindered or supported by past and present KTs. By focusing on the structural level, we will examine systemic issues such as monopolies over KTs, data extraction and colonialism, labour, and political participation.

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.

This section presents the KT4D serious game, an interactive tool to engage players with ethical dilemmas surrounding advanced knowledge technologies.

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

Describes the difference between efficiency and democratic effectiveness