Harmonizing Artificial Intelligence for Social Good

Bibliographic Data

ID19563200
AuthorsNicolas Berberich (0000-0001-6841-9340, Technical University of Munich, corresponding author), Toyoaki Nishida (University of Fukuchiyama), Shoko Suzuki (0000-0001-7925-6196, Kyoto University of Education)
Year2020
Volume33
Issue4
Pages613-638
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy & Technology (JOURNAL)
Journal identifiersISSN: 2210-5433 • E-ISSN: 2210-5441
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13347-020-00421-8
OpenAlexW3081740333
LanguageEN
Citations received24
References cited30

To become more broadly applicable, positions on AI ethics require perspectives from non-Western regions and cultures such as China and Japan. In this paper, we propose that the addition of the concept of harmony to the discussion on ethical AI would be highly beneficial due to its centrality in East Asian cultures and its applicability to the challenge of designing AI for social good. We first present a synopsis of different definitions of harmony in multiple contexts, such as music and society, which reveals that the concept is, at its core, about well-balanced relationships and appropriate actions which give rise to order, balance, and aesthetically pleasing phenomena. The mediator for these well-balanced relationships is Takt which is an ability to act thoughtfully and sensibly according to the specific situation and to put things into proportion and order. We propose that the central challenge of building harmonizing AI is to make intelligent systems tactful and also to design and use them tactfully. For an AI system to become tactful, it needs to be able to have an advanced sensitivity to the specific contexts which it is in and their social and ethical implications and have the capability of approximately inferring the emotional and cognitive states of people with whom it is interacting

Centrality · Cognitive science · Engineering ethics · Epistemology · Philosophy of science · Philosophy of technology · Sociology · Aesthetic Perception and Analysis · Computer Science · Engineering · Generative Adversarial Networks and Image Synthesis · Neuroscience and Music Perception · Philosophy · Psychology

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