Abstract
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.
This research was partially supported by Länsförsäkringsgruppens Forsknings- & Utvecklingsfond, agreement no. P4/18.
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Bateman, S., Gutwin, C., Nacenta, M.: Seeing things in the clouds: the effect of visual features on tag cloud selections. In: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, pp. 193–202. ACM (2008). https://doi.org/10.1145/1379092.1379130
Davis, J., Nathan, L.P.: Value sensitive design: applications, adaptations, and critiques. In: van den Hoven, J., Vermaas, P.E., van de Poel, I. (eds.) Handbook of Ethics, Values, and Technological Design, pp. 11–40. Springer, Dordrecht (2015). https://doi.org/10.1007/978-94-007-6970-0_3
de Laat, P.B.: Algorithmic decision-making based on machine learning from big data: can transparency restore accountability? Philos. Technol. 31(4), 525–541 (2017). https://doi.org/10.1007/s13347-017-0293-z
Dennett, D.C.: The Intentional Stance. MIT Press, Cambridge (1989)
Dignum, V.: Responsible autonomy. In: Proceedings 26th International Joint Conference on Artificial Intelligence, pp. 4698–4704. IJCAI (2017)
Dignum, V.: Responsible artificial intelligence: designing AI for human values. ITU J. ICT Discov. (1) (2017)
Friedman, B., Hendry, D.G.: The envisioning cards: a toolkit for catalyzing humanistic and technical imaginations. In: Proceedings of the 2012 Annual Conference on Human Factors in Computing Systems, pp. 1145–1148. ACM (2012). https://doi.org/10.1145/2207676.2208562
Friedman, B., Hendry, D.G.: Value Sensitive Design: Shaping Technology with Moral Imagination. The MIT Press, Cambridge (2019)
Friedman, B.: Value-sensitive design. Interactions 3(6), 16–23 (1996). https://doi.org/10.1145/242485.242493
Friedman, B., Kahn, P.H., Borning, A., Huldtgren, A.: Value sensitive design and information systems. In: Doorn, N., Schuurbiers, D., van de Poel, I., Gorman, M.E. (eds.) Early Engagement and New Technologies: Opening Up the Laboratory. PET, vol. 16, pp. 55–95. Springer, Dordrecht (2013). https://doi.org/10.1007/978-94-007-7844-3_4
Mallin, C.: The relationship between corporate governance, transparency and financial disclosure. Corp. Gov. Int. Rev. 10, 253–255 (2002). https://doi.org/10.1111/1467-8683.00289
Royakkers, L., Timmer, J., Kool, L., van Est, R.: Societal and ethical issues of digitization. Ethics Inf. Technol. 20, 127–142 (2018). https://doi.org/10.1007/s10676-018-9452-x
Turilli, M., Floridi, L.: The ethics of information transparency. Ethics Inf. Technol. 11(2), 105–112 (2009). https://doi.org/10.1007/s10676-009-9187-9
Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185(4157), 1124–1131 (1974). https://doi.org/10.1126/science.185.4157.1124
Umbrello, S.: Beneficial artificial intelligence coordination by means of a value sensitive design approach. Big Data Cogn. Comput. 3(1), 5 (2019). https://doi.org/10.3390/bdcc3010005
Yamamoto, Y., Sandström, K., Munoz, A.A.: Karakuri IoT - the concept and the result of pre-study advances in manufacturing technology. In: Advances in Manufacturing Technology XXXII, pp. 311–316. IOS Press (2018). https://doi.org/10.3233/978-1-61499-902-7-311
Zerilli, J., Knott, A., Maclaurin, J., Gavaghan, C.: Transparency in algorithmic and human decision-making: is there a double standard? Philos. Technol. 32(4), 661–683 (2018). https://doi.org/10.1007/s13347-018-0330-6
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Dexe, J., Franke, U., Nöu, A.A., Rad, A. (2020). Towards Increased Transparency with Value Sensitive Design. In: Degen, H., Reinerman-Jones, L. (eds) Artificial Intelligence in HCI. HCII 2020. Lecture Notes in Computer Science(), vol 12217. Springer, Cham. https://doi.org/10.1007/978-3-030-50334-5_1
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