Connecting experts from the fields of
philosophy, mathematics, physics,
computer science, cognitive science, law, and art.
Aiming to explore whether the use of
artificial intelligence in research is a potential risk
or the future of science.
DELPHI
Deep Learning & Philosophy
CONFERENCE
WHERE?
University of Graz, AUSTRIA
WHEN?
16 - 18 September 2024
Keynote speakers
Raphaël Millière
Macquarie University in Sydney
Australia
Philosophy of AI
Jana Lasser
University of Graz
Austria
Computational Social Sciences & Machine Learning
David W. Hogg
New York University
USA
Astrophysics &
Machine Learning
Dimitri Coelho Mollo
Umeå University
Sweden
Philosophy of AI
A live feed of all the conference talks will be available through streaming.
A link to the streaming platform will be provided in the coming days..
The scope of this conference is the mutual exchange of researchers from various fields about the use of artificial intelligence, especially machine learning and deep learning, in different scientific disciplines.
Philosophers, physicists, cognitive scientists, mathematicans, historians, artists - just to name a few - will talk about the big potential but also about the risks of applying artificial intelligence in their research and work.
We aim to connect people from science, humanities, law, and art in order to get a real interdisciplinary and comprehensive view on the ubiquitious use of AI in research.
We will discuss the benefits and the possible drawbacks of AI in science, and we will analyse the effects these algorithms have on our daily life and on the complex social systems we are part of.
Everybody who is interested in these topics and would like to listen to the talks of the experts is welcome! No registration is required.
Philosophy
Astrophysics
Neural Engineering
Art & AI
Social Sciences
Cognitive Science
Mathematics
AI
Quantum Physics
Neuroinformatics
Technology Law
Computer Science
Digital Humanities
Every participant can get a certificate of attendance!
List of speakers
Raphaël Millière
David W. Hogg
Dimitri Coelho Mollo
Jana Lasser
Martin Holler
Kerstin Lenk
Harald Wiltsche
Anna Dawid
Moritz Grosse-Wentrup
Philipp Berghofer
Ken Archer
Tima Otu Anwana
Benjamin Roth
Elisabeth Hödl
Georg Vogeler
Eugenia Stamboliev
Jordi Vallverdú
Macquarie University in Sydney, Australia
New York University, USA
Umeå University, Sweden
IdeA Lab, University of Graz, Austria
University of Graz, Austria
Graz University of Technology, Austria
Linköping University, Sweden
Philosophy of AI & Cognitive Science
Astrophysics & Machine Learning
Philosophy of AI & Cognitive Science
Physics & Computational Social Sciences
Mathematics & Machine Learning
Neural Engineering
Phenomenology & Philosophy of Science
Flatiron Institute New York, USA
University of Vienna, Austria
University of Graz, Austria
Microsoft, San Francisco, USA
University of Vienna, Austria
University of Vienna, Austria
University of Graz, Austria
University of Graz, Austria
University of Vienna, Austria
ICREA/Universitat Autònoma de Barcelona, Spain
Quantum Physics & Machine Learning
Neuroinformatics & Computer Science
Phenomenology & Philosophy of Science
Responsible AI & Cognitive Science
Business and Technology Law
Computer Linguistics & Digital Text Sciences
Law, Digitalization and Art
Digital Humanities & Historical Auxiliary Sciences
Philosophy of Technology & AI Ethics
Philosophy of AI & Causality in Deep Learning
Organiser & Contact:
Isabell Piantschitsch
University of Graz
isabell.piantschitsch@uni-graz.at
This conference is funded by the Styrian government