Autonomy-oriented foundation of norms as trust-building conflict management in the age of global digitalisation

Bernhard Jakl (University of Münster, University of Munich)

 

The talk
Artificial intelligence systems (AI systems) are one of the most dynamic innovations of the present. AI systems include the extensive collection of data, that can be used by a wide range of computer-supported applications ordered by algorithms. Some assume that the rise of risky AI systems is the end of the Enlightenment and its related basis for trust, the autonomy-oriented justification and reasoning of norms. A first look at utopias and dystopias in innovations seems to confirm that. However, a second look on the legal framework suggests the opposite. The legal system offers some established and autonomy-oriented normative standards, that have proven their trustworthiness already in many societal fields. These standards are too often set aside in the regulation of AI systems. Nevertheless, they would significantly contribute to an autonomy-oriented legal-systematic classification of AI systems.
Based on that, the relationship between risky AI systems and trustworthy normative justifications is discussed with examples of current regulatory proposals. I argue for avoiding the »mechanistic trap« in the ongoing

The speaker
PD PD Dr. Bernhard Jakl is Adj. Professor (Privatdozent) at the Faculty of Law of the University of Münster and the Faculty of Philosophy, Philosophy of Science and Religious Studies of the LMU University of Munich. He received his PhD from the LMU University of Munich in 2006, his habilitation in philosophy from the LMU University of Munich in 2012, and his habilitation in law from the University of Münster in 2017. He has taught at the Universities of Frankfurt am Main, Münster, Munich, Siegen and Saarland.

In the summer term 2022 he is, on the invitation of Professor Beatrice Brunhöber and Professor Klaus Günther, a fellow at the Forschungskolleg Humanwissenschaften.

Participation and registration
For participation, online or on site, please register in advance (contact: Beate Sutterlüty; email: b.sutterluety@forschungskolleg-humanwissenschaften.de).