Print Email Facebook Twitter Mapping value sensitive design onto AI for social good principles Title Mapping value sensitive design onto AI for social good principles Author Umbrello, S. (University of Turin) van de Poel, I.R. (TU Delft Ethics & Philosophy of Technology; TU Delft Values Technology and Innovation) Department Values Technology and Innovation Date 2021 Abstract Value sensitive design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: (1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; (2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good, and (3) extending the VSD process to encompass the whole life cycle of an AI technology to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app. Subject Value sensitive designVSDArtificial intelligenceAI4SGSustainable development goalsCOVID-19 To reference this document use: http://resolver.tudelft.nl/uuid:edfc5359-99d6-4e1a-b291-597a99c16003 DOI https://doi.org/10.1007/s43681-021-00038-3 ISSN 2730-5961 Source AI and Ethics, 283–296 Part of collection Institutional Repository Document type journal article Rights © 2021 S. Umbrello, I.R. van de Poel Files PDF Umbrello_Poel2021_Article ... ignOnt.pdf 1.3 MB Close viewer /islandora/object/uuid:edfc5359-99d6-4e1a-b291-597a99c16003/datastream/OBJ/view