Currently, value sensitive design (VSD) does not commit to a particular ethical theory.
Critiques contend that without such an explicit commitment, VSD lacks a methodology for …

In 2016, an investigative journalism group called ProPublica analyzed COMPAS, a
recidivism prediction algorithm based on machine learning used in the US criminal justice …

Whereas the validity of deductive inferences can be characterized in terms of their logical
form, this is not true for all inferences that appear pre-theoretically valid. Nonetheless …

The precautionary principle (PP) is an influential principle of risk management. It has been
widely introduced into environmental legislation, and it plays an important role in most …

Conceptual spaces have become an increasingly popular modeling tool in cognitive
psychology. The core idea of the conceptual spaces approach is that concepts can be …

Engineering ethics courses aim to improve students' ethical competence by developing
skills such as ethical sensitivity, awareness, analysis and judgement. We present a type of …

Throughout history, humans have explored new places, making both good and bad moral
decisions along the way. As humanity proceeds to explore space, it is important that we …

This paper studies the learnability of natural concepts in the context of the conceptual
spaces framework. Previous work proposed that natural concepts are represented by the …

Materiae Dimension of the Proposal for an EU Artificial Intelligence Act* Page 1 49 Market
and Competition Law Review ! VOLUME VI / No. 1 / APRIL 2022 Humpty Dumpty and High-Risk …

It has recently been proposed that natural concepts are those represented by the cells of an
optimally partitioned similarity space. In this proposal, optimal partitioning has been defined …