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Kafkaesque AI? Legal Decision-Making in the Era of Machine Learning

  • Artificial Intelligence (“AI”) is already being employed to make critical legal decisions in many countries all over the world. The use of AI in decision-making is a widely debated issue due to allegations of bias, opacity, and lack of accountability. For many, algorithmic decision-making seems obscure, inscrutable, or virtually dystopic. Like in Kafka’s The Trial, the decision-makers are anonymous and cannot be challenged in a discursive manner. This article addresses the question of how AI technology can be used for legal decisionmaking and decision-support without appearing Kafkaesque. First, two types of machine learning algorithms are outlined: both Decision Trees and Artificial Neural Networks are commonly used in decision-making software. The real-world use of those technologies is shown on a few examples. Three types of use-cases are identified, depending on how directly humans are influenced by the decision. To establish criteria for evaluating the use of AI in decision-making, machine ethics, the theory of procedural justice, the rule of law, and the principles of due process are consulted. Subsequently, transparency, fairness, accountability, the right to be heard and the right to notice, as well as dignity and respect are discussed. Furthermore, possible safeguards and potential solutions to tackle existing problems are presented. In conclusion, AI rendering decisions on humans does not have to be Kafkaesque. Many solutions and approaches offer possibilities to not only ameliorate the downsides of current AI technologies, but to enrich and enhance the legal system.

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Metadaten
Author:Carolin Kemper
URN:urn:nbn:de:0246-opus4-47862
Parent Title (English):Intellectual Property and Technology Law Journal
Volume:24
Publisher:University of San Francisco
Place of publication:San Francisco, CA
Document Type:Article
Language:English
Year of Completion:2020
Publishing Institution:Deutsches Forschungsinstitut für öffentliche Verwaltung
Release Date:2021/01/19
Tag:automatisierte Entscheidungen
automated decision-making; legal decision-making
Online-Document?:Nein
Issue:2
First Page:251
Last Page:294
Documents ordered by discipline (DDC classification):300 Sozialwissenschaften / 340 Recht
Documents of the German Research Institute for Public Administration (FÖV):Frühere Veröffentlichungen von FÖV-Angehörigen
Access Rights:Frei zugänglich
Licence (German):License LogoUrhG – es gilt deutsches Urheberrecht
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International