Towards increased transparency with value sensitive design
2020 (English)In: Lect. Notes Comput. Sci. volume 12217, Springer , 2020, Vol. 12217, p. 3-15Conference paper, Published paper (Refereed)
Abstract [en]
In the past few years, the ethics and transparency of AI and other digital systems have received much attention. There is a vivid discussion on explainable AI, both among practitioners and in academia, with contributions from diverse fields such as computer science, human-computer interaction, law, and philosophy. Using the Value Sensitive Design (VSD) method as a point of departure, this paper explores how VSD can be used in the context of transparency. More precisely, it is investigated (i) if the VSD Envisioning Cards facilitate transparency as a pro-ethical condition, (ii) if they can be improved to realize ethical principles through transparency, and (iii) if they can be adapted to facilitate reflection on ethical principles in large groups. The research questions are addressed through a two-fold case study, combining one case where a larger audience participated in a reduced version of VSD with another case where a smaller audience participated in a more traditional VSD workshop. It is concluded that while the Envisioning Cards are effective in promoting ethical reflection in general, the realization of ethical values through transparency is not always similarly promoted. Therefore, it is proposed that a transparency card be added to the Envisioning Card deck. It is also concluded that a lightweight version of VSD seems useful in engaging larger audiences. The paper is concluded with some suggestions for future work. © Springer Nature Switzerland AG 2020.
Place, publisher, year, edition, pages
Springer , 2020. Vol. 12217, p. 3-15
Keywords [en]
Explainability, Financial markets, Internet of Things, Transparency, Value Sensitive Design, Human computer interaction, Philosophical aspects, Digital system, Diverse fields, Ethical principles, Ethical values, Large groups, Point of departures, Research questions, Artificial intelligence
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:ri:diva-45651DOI: 10.1007/978-3-030-50334-5_1Scopus ID: 2-s2.0-85088742626ISBN: 9783030503338 (print)OAI: oai:DiVA.org:ri-45651DiVA, id: diva2:1457595
Conference
International Conference on Human-Computer Interaction. HCII 2020: Artificial Intelligence in HCI
Note
Funding details: P4/18; Funding text 1: This research was partially supported by Länsförsäkringsgruppens Forsknings-& Utvecklingsfond, agreement no. P4/18.
2020-08-122020-08-122023-06-08Bibliographically approved