Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 1I4-OS-14a-01
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Unexplored Data Design and Origination Process: A Case of AI Product Acceptability
*Teruaki HAYASHIKai ISHIKAWAHirohiko ITOKenichiro TSUDAAtsushi KASHITANIYoshio KAMEDAMakoto SATOYumiko NAGOHYukio OHSAWA
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Abstract

Ethical issues of AI technologies have been examined worldwide, and laws, regulations, guidelines are being developed. However, although the general social acceptability have been discussed, the communities’ and individuals’ acceptance process of these technologies and their opportunities are unexplored issues. In this study, we design unexplored data focusing on individuals’ acceptance of AI products using Variable Quest and discuss the process of data origination and its results.

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© 2022 The Japanese Society for Artificial Intelligence
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