Autonomous Decision-Making as a Challenge for Legal Research

In this contribution, the challenges that autonomous decision-making (AI) poses for law is approached by a review of the so-called »accountability gap.« To get a better understanding of the fundamental problem that economic analysis of law has with autonomous decision-making, different routes for solving the problem are scrutinized. The analysis shows that the toolbox of Law and Economics does not yet provide a clear answer. Doctrinal law can also give no conclusive answers. Instead, this contribution proposes taking a closer look into legal history. The recourse to legal history can neither replace theory, nor can legal rules from the past be transplanted to the present. Yet, a look into legal history can provide fresh ideas on how to deal effectively with the challenges of autonomous decision-making.

Business · Management science · Artificial Intelligence in Law · Computer Science · Engineering