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A design approach, with ready-made methods and card decks, for identifying the people and human values a technology affects and building those values into the design from the start.

Websitehttps://vsdesign.org/vsd/
Developed byBatya Friedman, David G. Hendry, Value Sensitive Design Lab, University of Washington (1996)
TypeFramework: Design methodology with printable card decks (Envisioning Cards)
Lifecycle phaseDesign, Development
FUTURE-AIGeneral recommendations, Usability
ForAI developers, Researchers
FacilitationFacilitator recommended
Skills needednone for the cards; the full methodology benefits from design or social science experience
CostFree
LanguagesEnglish
MaturityEstablished
LicenceCC-BY-NC-ND-4.0 (Envisioning Cards)

What it is

Value Sensitive Design (VSD) combines three kinds of investigation: conceptual work on which values and stakeholders matter, empirical work with the people involved, and technical work on how design choices support or undermine those values. It explicitly includes indirect stakeholders, people who never use the system but are affected by it. The VSD Lab at the University of Washington publishes toolkits such as the Envisioning Cards, a deck of prompts on stakeholders, time, values, pervasiveness and multi-lifespan effects that you can use in design sessions.

In healthcare

The VSD Lab reports that the Envisioning Cards have been used in East Africa to help design national health care systems. VSD is also one of the foundations of the Moral Medtech game for medical AI.

Where to use it in The ELSA Way

References

Also listed in: RAAIT toolbox.

References
  1. Friedman, B. (1996). Value-sensitive design. Interactions, 3(6), 16–23. 10.1145/242485.242493
  2. Friedman, B., & Hendry, D. G. (2019). Value Sensitive Design: Shaping Technology with Moral Imagination. The MIT Press. 10.7551/mitpress/7585.001.0001
  3. Friedman, B., & Hendry, D. (2012). The envisioning cards: a toolkit for catalyzing humanistic and technical imaginations. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1145–1148. 10.1145/2207676.2208562