At a high-level this article follows the structure of the original article in Dutch How ‘algoprudence’ can contribute to responsible use of ML-algorithms

Abstract

By means of two case positions regarding the use of machine learning-driven risk profiling by the municipalities of Rotterdam and Amsterdam, the concept of ‘algoprudence’ is introduced and explained. This new term refers to concrete, case-based, and decentralized judgments regarding the normative decision made to design and deploy algorithms. The article illustrates that the general principles from various legal frameworks, such as EU non-discrimination law, the GDPR, AI Act and Dutch Administrative Law, are insufficient to provide concrete standards for these algorithms, it is argued that algoprudence can serve as a useful addition to and concretization of existing legal frameworks.

Newsletter

Stay up to date about our work by signing up for our newsletter

Newsletter

Stay up to date about our work by signing up for our newsletter

Building public knowledge for ethical algorithms