“Democracy is a mechanism for distributing knowledge about matters of public interest, allowing us to decide which politicians should govern.” This popular view paints the picture that a politician's role is to inform voters about what is in our best interest. Losing elections, then, must be the result of ineffective communication: “If only we'd managed to get our message across to people properly”, the story goes, “then they would have seen why they had to vote for us!”
This picture clearly falls short of the messy reality of politics. But why? Does it portray an overly rationalistic picture of the democratic process? Is this picture overly idealistic? Does it overestimate the importance of (conveying) knowledge in democratic decisionmaking? Does it overestimate the potential for people to know what is in their best interest? How can we even determine what a person's “best interest” truly is?
The discussion will be moderated by Eva Stanzl, journalist at the Wiener Zeitung.
Doors open at 19:00. Discussion begins promptly at 19:30 and will be followed by a reception at 21:00.
Panel: Michael Ignatieff, Oliver Traldi, Åsa Wikforss
Artificial Intelligence is in the process of transforming our society. But it also has profound implications for our methods of knowledge production and consumption. The products of recent AI machines like ChatGPT are linguistically impressive and convincing — but they are also full of factual errors which their creators euphemistically (and misleadingly) call ‘hallucinations’. Given the extent to which we are starting to rely on AI, the question arises: how can we trust any of its outputs? How do we know what to believe? Is this a technical problem or a social and epistemological one? Technology is also beginning to change our conception of knowledge itself. If someone asks you whether you know a friend’s phone number, you may say yes and reach for your phone. Do you really know it in this situation? And if so, what does this say about the concept of knowledge?
These and other questions will be introduced in a public discussion, the first public event of the Knowledge in Crisis Cluster of Excellence.
The discussion will be moderated by Professor Tim Crane, Director of Research of Knowledge in Crisis, and the author of the leading textbook on the philosophy of mind and AI, The Mechanical Mind (first edition 1995, third edition 2014).
The discussion will be followed by a wine reception.