Algorithmic Knowledge Production – Principles, Problems, Prospects
10/08/2020 bis 10/09/2020 in Zürich (Schweiz)
The conference will discuss basic principles and problems of algorithmic knowledge production in contemporary science and society. Witnessed by most recent breakthrough research, quantum algorithms introduce new ways of processing information entirely at variance with traditional classical computation. Also, algorithms are now utilized in proving mathematical theorems. This forces us to scrutinize the notion of understanding and even to ask what this actually means for artificial and natural intelligence. In addition to such basic issues, the conference addresses concrete and specific applications: automated decision making and its legal consequences, the successes of machine learning in medical diagnostics, and the influence of speedy algorithms on financial markets and other areas of economics.
mit:
Prof. Dr. Joachim Buhmann (ETH Zürich)
Dr. Liesbeth de Mol (Université de Lille)
Prof. Dr. Markus Gabriel (Universität Bonn)
Prof. Dr. Renato Renner (ETH Zürich)
Prof. Dr. Florent Thouvenin (Universität Zürich)
Prof. Dr. Josef Teichmann (ETH Zürich)