Autonomous Decision-Making as a Challenge for Legal Research
Klaus Heine
What the paper says
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.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.