Mikkel Rørbo
Mikkel Rørbo is an interdisciplinary researcher and, sometimes, artist and curator. He is currently a PhD candidate at the Peter Weibel Research Institute for Digital Cultures and holds degrees in philosophy and cultural studies from University of Copenhagen. His work focuses on the philosophical dimensions of living with machine intelligences and speculative methods for critical engagement with emerging technologies. As an artist and curator, he has performed, released and exhibited internationally as well as collaborated with institutions, festivals and art spaces. He has written about and presented work on technology, philosophy and contemporary experiments in music.
Contact
Office Hours: by Appointment
Email: mikkel.rorbo[at]uni-ak.ac.at
Showroom: Mikkel Rørbo
- title
- Abductive Inference
- type
- Workshop
- keywords
- Philosophy, Philosophy of Technology, Machine Learning, Artificial Intelligence, Media Theory
- texts
- Description
- This workshop explores the concept of abductive inference in relation to machine learning, focusing on the distinction between weak and strong abduction. Building on earlier discussions of weak abduction—understood as the generation of conjectural models by current AI systems—we’ll consider what strong abduction might entail, particularly in light of debates around digital aesthetics, creativity, and politics. Central to our inquiry is the contested role of explanation in AI: while classical statistics emphasized interpretability, contemporary algorithmic approaches prioritize prediction and the construction of new, data-driven realities. This tension invites critical reflection on how different forms of inference (abduction vs. induction) shape epistemological, political, and artistic possibilities—and limitations—in computational culture.
- organisers/management
- Mikkel Rørbo, Clemens Apprich, Luke Stark, Weibel Institute for Digital Cultures
- lecturers
- Mikkel Rørbo, Luke Stark, Hong, Sun-ha, McGlotten, Shaka, Daniel Susser, Alex Quicho
- date, time and location
- date
- 2025-05-26
- location
- Universität für angewandte Kunst in Wien, Wien, Österreich
