Beneficial Artificial Intelligence Coordination by means of a Value Sensitive Design Approach

Big Data and Cognitive Computing 3 (1):5 (2019)
  Copy   BIBTEX


This paper argues that the Value Sensitive Design (VSD) methodology provides a principled approach to embedding common values in to AI systems both early and throughout the design process. To do so, it draws on an important case study: the evidence and final report of the UK Select Committee on Artificial Intelligence. This empirical investigation shows that the different and often disparate stakeholder groups that are implicated in AI design and use share some common values that can be used to further strengthen design coordination efforts. VSD is shown to be both able to distill these common values as well as provide a framework for stakeholder coordination.

Author's Profile

Steven Umbrello
Università di Torino


Added to PP

656 (#24,235)

6 months
128 (#29,915)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?