Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-25T16:53:54.374Z Has data issue: false hasContentIssue false
  • English
  • Français

Can Ethics Enhance Creative Design Activity?

Part of: Responsible Design

Published online by Cambridge University Press:  26 July 2019

Kaira Sekiguchi  and
Koichi Hori
Kaira Sekiguchi*
Affiliation:
University of Tokyo;
Koichi Hori
Affiliation:
University of Tokyo; RIKEN Center for Advanced Intelligence Project (AIP)
*
Contact: Sekiguchi, Kaira University of Tokyo, Department of Aeronautics and Astronautics Japan, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This study exhibits that there exists generative ethics in which ethical thinking will allow us to change our perspectives to consider the artifacts’ social effects in design, thereby enhancing our activity to generate novel and practical design ideas.

As an example of practicing the generative ethics, a case for addressing the increasing requirement to properly introduce “artificial intelligence” (AI) systems in society was considered. We applied the ethical design theory to promote the practice of ethical AI design by engineers. To achieve this, we implemented a creativity support tool that can be used based on the knowledge base of AI ethics.

To confirm the validity of the theory and the tool, we conducted user experiments in which the AI research students had to consider the effects of their own research projects with using the tool. We could confirm that the tool actually induced the users to consider social impacts. Some students revealed in response to the questionnaire that the experiment provided them with an opportunity to reconsider their own research theme.

In this study, the ethical design theory and tool will be briefly reviewed, and the experiments will be discussed.

Keywords

Design theoryEthical designCreativitySupport toolKnowledge management
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3181 - 3190
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Finke, R. A., Ward, T. B. and Smith, S. M. (1992), Creative Cognition: Theory, Research, and Applications, MIT Press, Massachusetts.Google Scholar
Future of Life Institute (2017), Asilomar AI Principles, Available at: https://futureoflife.org/ai-principles/.Google Scholar
Nakakoji, K. (2007), “From Interfaces to Interactions: An Overview of SIGHI (1001 SIG Nights)”, IPSJ Magazine, Vol. 48 No. 2, pp 202–203. (in Japanese).Google Scholar
Sekiguchi, K. (2017), Dfrome; Website for Design from the Ethics Level, Available at: https://www.dfrome.com (October 17–25, 2018).Google Scholar
Sekiguchi, K. and Hori, K. (2018a), “Organic and Dynamic Tool for Use with Knowledge Base of AI Ethics for Promoting Engineers’ Practice of Ethical AI Design”, AI & Society, pp. 1–21. https://doi.org/10.1007/s00146-018-0867-zGoogle Scholar
Sekiguchi, K. and Hori, K. (2018b), “Realization of Organic and Dynamic Creativity Support Tool for Promoting Ethical AI Design”, Proceeding of the 13th International Conference on Knowledge, Information and Creativity Support Systems (KICSS2018), Artificial Intelligence Association of Thailand (AIAT), Pattaya, pp. 53–60.Google Scholar
Sekiguchi, K., Tanaka, K. and Hori, K. (2010), “Design with Discourse” to Design from the “Ethics Level”, in: Družovec, T. W., Jaakkola, H., Kiyoki, Y., Tokuda, T. and Yoshida, N. (Ed), Volume 206: Information Modelling and Knowledge Bases XXI: Frontiers in Artificial Intelligence and Applications, IOS Press, Amsterdam, pp. 307–314. https://doi.org/10.3233/978-1-60750-477-1-307Google Scholar
Sekiguchi, K., Terada, M., Hori, K. and Nakagawa, H. (2018), “Legal Design Incorporating Risk Mitigation Measure of Drone Swarm Design”, Special Interest Group on Electronic Intellectual Property (IPSJ-EIP), IPSJ SIG Technical Report, No. 3, pp. 1–7. (in Japanese).Google Scholar
Simon, H. A. (1996), The Sciences of the Artificial, Third Edition, MIT Press, Massachusetts.Google Scholar
The Conference toward AI Network Society (2017), Socioeconomic Impact of AI Networking: Preliminary Assessment, (Attached Paper 3 of Toward Promotion of International Discussions on AI Networking) (in Japanese).Google Scholar
van der Poel, I. (2015), Ethics and Technology 2.0: Responsible Innovation and Value Sensitive Design, Presentaties at Filosofie & Techniek, KIVI, Den Haag.Google Scholar
Wittgenstein, L., Ascombe, G. E. M., von Wright, G. H. and Paul, D. (1972), On Certainty, Harper & Row, Publishers, New York, pp. 44–44e.Google Scholar
Yoshikawa, H. (1979), “Introduction to General Design Theory”, Journal of the Japan Society of Precision Engineering, Vol. 45 No. 536, pp. 906–912. (in Japanese). https://doi.org/10.2493/jjspe1933.45.906Google Scholar
Yoshikawa, H. (1981), “General Theory of Design Process”, Journal of the Japan Society of Precision Engineering, Vol. 47 No. 4, pp. 405–410. (in Japanese). https://doi.org/10.2493/jjspe1933.47.405Google Scholar
Yoshikawa, H. (2003), “Full Research and”, AIST Today - International Edition, No. 8, pp. 2–6.Google Scholar