Assessing the Japanese Turn in AI and Robot Ethics: Extracting Meaningful Principles Between Exoticism and Empiricism in the Case of AIBO - Human-Centric Computing in a Data-Driven Society Access content directly
Conference Papers Year : 2020

Assessing the Japanese Turn in AI and Robot Ethics: Extracting Meaningful Principles Between Exoticism and Empiricism in the Case of AIBO

Vassilis Galanos
  • Function : Author
  • PersonId : 1042288
Mary Reisel
  • Function : Author
  • PersonId : 1123036

Abstract

The present paper critically examines a recent recurrent pattern of Western scholarship of importing sets of Japanese ethics in artificial intelligence/data/robot ethics contexts without a deeper examination of their meaning and value. The paper’s outline is unfolded as such: (1) We draw on material stemming from an ethnographic participant-observer study that followed a debate between Western and Japanese people confronting the robotic AI pet AIBO. (2) We demarcate how many of the proposed Japanese values are practically relevant to the examination of human-robot interaction and how this feeds into existing questions about privacy and safety, in the context of a global overwhelming AI hype and narrative bias. (3) Finally, we discuss how a long history of Western enthusiasm and occasional misunderstandings of Japanese values comes full circle with the recent trend, and we conclude with a set of open questions that require more dedicated empirical research in order to reach more proper and practical value system in the future design of technology.
Fichier principal
Vignette du fichier
497045_1_En_12_Chapter.pdf (361.46 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03525267 , version 1 (13-01-2022)

Licence

Attribution

Identifiers

Cite

Vassilis Galanos, Mary Reisel. Assessing the Japanese Turn in AI and Robot Ethics: Extracting Meaningful Principles Between Exoticism and Empiricism in the Case of AIBO. 14th IFIP International Conference on Human Choice and Computers (HCC), Sep 2020, Tokyo, Japan. pp.141-157, ⟨10.1007/978-3-030-62803-1_12⟩. ⟨hal-03525267⟩
94 View
108 Download

Altmetric

Share

Gmail Facebook X LinkedIn More