Clients may feel trapped into sharing their private digital data with insurance companies to get a desired insurance product or premium. However, private insurance must collect some data to offer products and premiums appropriate to the client’s level of risk. This situation creates tension...

The ELSI White Paper is the final achievement of the ELSI Task Force for the National Research Programme “Big Data” (NRP 75). It is an informational document that provides an overview of the key ethical, legal, and social challenges of big data and provides guidance for the collection, use,...

We provide a philosophical explanation of the relation between artificial intelligence (AI) explainability and trust in AI, providing a case for expressions, such as “explainability fosters trust in AI,” that commonly appear in the literature. This explanation relates the justification of...

Der Einsatz von Künstlicher Intelligenz im Personalmanagement steckt noch in den Kinderschuhen. Gerade deshalb stellt sich die Frage, wie sie überhaupt zu besseren und faireren Personalentscheidungen beitragen kann. In seinem Gutachten entwickelt Michele Loi von der Universität Zürich...

Der Einsatz von Künstlicher Intelligenz im Personalmanagement steckt noch in den Kinderschuhen. Gerade deshalb stellt sich die Frage, wie sie überhaupt zu besseren und faireren Personalentscheidungen beitragen kann. In seinem Gutachten entwickelt Michele Loi von der Universität Zürich...

Trust and monitoring are traditionally antithetical concepts. Describing trust as a property of a relationship of reliance, we introduce a theory of trust and monitoring, which uses mathematical models based on two classes of functions, including q-exponentials, and relates the levels of trust...

Here we provide an ethical analysis of discrimination in private insurance to guide the application of non-discriminatory algorithms for risk prediction in the insurance context. This addresses the need for ethical guidance of data-science experts and business managers. The reference to private...