2022-10-21 CAS AML M5 Philosophy and Ethics of Extended Cognition and Artificial Intelligence
CAS Advanced Machine Learning Module 5
Reiter
About
CAS AML M5 Philosophy and Ethics of Extended Cognition and Artificial Intelligence
Learning outcomes - graduates
Learning outcomes - graduates
- have an overview of the history and the philosophy of artificial intelligence
- know philosophical and scientific presuppositions of artificial intelligence
- can relate techniques of AI to well-known scientific methods
- know the main philosophical discussions on artificial intelligence
- know the main moral challenges related to artificial intelligence and can discuss solutions from the perspective of ethics
- master best practices for ethics dealing with artificial intelligence
- History of computing with a focus on AI
- Philosophical conceptions of AI (weak vs. strong AI)
- Extended mind hypothesis • Philosophical concepts of data and data analysis
- AI and scientific inference
- Ethical challenges due to AI in the light of ethical theories
- Machine ethics
- Graduates and professionals enrolled for the CAS Advanced Machine Learning
- Other interested people and students
- University or University of Applied Sciences level degree (bachelor, master, phd)
- Seminar, short presentations, written essay. Every week there will be a new paper on Ilias to study before next class.
Practical information (time, location ...)
Time : Fridays 15:15-17:00 from 2022-10-21 to 2022-12-16
Location: University of Bern, Parkterasse 14, Raum 323
Language: English
Participants : Max 24
Registration : Mandatory (via Ilias)
Responsible : Prof. Dr. Dr. Claus Beisbart, PD Dr. Sigve Haug
Location: University of Bern, Parkterasse 14, Raum 323
Language: English
Participants : Max 24
Registration : Mandatory (via Ilias)
Responsible : Prof. Dr. Dr. Claus Beisbart, PD Dr. Sigve Haug
Lecturers and Coaches
Prof. Dr. Dr. Claus Beisbart
https://www.philosophie.unibe.ch/about_us/staff/beisbart/index_eng.html
PD Dr. Sigve Haug
Sigve studied physics in Germany, Spain and Norway. He has been involved in neutrino physics experiments and high energy frontier experiments, often with main focus on the computing challenges related to the large and distributed data from these experiments. Today he is heading the Data Science Lab at the University of Bern.
https://www.philosophie.unibe.ch/about_us/staff/beisbart/index_eng.html
PD Dr. Sigve Haug
Sigve studied physics in Germany, Spain and Norway. He has been involved in neutrino physics experiments and high energy frontier experiments, often with main focus on the computing challenges related to the large and distributed data from these experiments. Today he is heading the Data Science Lab at the University of Bern.