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Emotional AI, Ethics, and Japanese Spice: Contributing Community, Wholeness, Sincerity, and Heart

Authors :
McStay, Andrew
Source :
Philosophy & Technology. December, 2021, Vol. 34 Issue 4, p1781, 22 p.
Publication Year :
2021

Abstract

This paper assesses leading Japanese philosophical thought since the onset of Japan's modernity: namely, from the Meiji Restoration (1868) onwards. It argues that there are lessons of global value for AI ethics to be found from examining leading Japanese philosophers of modernity and ethics (Yukichi Fukuzawa, Nishida Kitaro, Nishi Amane, and Watsuji TetsurÅ), each of whom engaged closely with Western philosophical traditions. Turning to these philosophers allows us to advance from what are broadly individualistically and Western-oriented ethical debates regarding emergent technologies that function in relation to AI, by introducing notions of community, wholeness, sincerity, and heart. With reference to AI that pertains to profile, judge, learn, and interact with human emotion (emotional AI), this paper contends that (a) Japan itself may internally make better use of historic indigenous ethical thought, especially as it applies to question of data and relationships with technology; but also (b) that externally Western and global ethical discussion regarding emerging technologies will find valuable insights from Japan. The paper concludes by distilling from Japanese philosophers of modernity four ethical suggestions, or spices, in relation to emerging technological contexts for Japan's national AI policies and international fora, such as standards development and global AI ethics policymaking.<br />Author(s): Andrew McStay [sup.1] Author Affiliations: (1) grid.7362.0, 0000000118820937, School of History, Law and Social Sciences, Bangor University, , Bangor, Wales, UK Introduction Focusing on Japan, this paper examines what [...]

Details

Language :
English
ISSN :
22105433
Volume :
34
Issue :
4
Database :
Gale General OneFile
Journal :
Philosophy & Technology
Publication Type :
Academic Journal
Accession number :
edsgcl.686026323
Full Text :
https://doi.org/10.1007/s13347-021-00487-y