Value Sensitive Design based Approach for Trustworthiness including Ethics in Artificial Intelligence

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Authors: Nuria Quintano, Carmen Alonso Montes, Alexander Eguia, Irina Marsh, Szymon Buś, Agnieszka Sprońska, Michel Barreteau
Cited by: 0

Abstract

In this paper, a Value Sensitive Design (VSD) based approach to AI trust-worthiness including ethics is presented. VSD integrates ethical values into tech-nological design, and based on this approach a values reference model and an implementation method are defined for a trustworthy and ethical AI. In this pa-per, the experimentation of this approach in a use case involving collaborative robots is presented, addressing both technical and human-related characteristics of the AI systems. The preliminary findings in the work suggest that: (1) AI Trustworthiness is a broad concept that must be analysed in detail, considering industrial context and other priorities, (2) Achieving a shared understanding among stakeholders is essential but difficult, highlighting the need for structured dialogue, (3) Adopting this VSD based approach may have a significant impact on the stakeholders’ minds.

Fields of Study & Subjects

Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI) Ethics in Business and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Document type
Preprint