A4 Article in conference proceedings
Cognitive Mimetics for AI Ethics : Tacit Knowledge, Action Ontologies and Problem Restructuring (2020)


Karvonen, A. (2020). Cognitive Mimetics for AI Ethics : Tacit Knowledge, Action Ontologies and Problem Restructuring. In M. Rauterberg (Ed.), Culture and Computing. 8th International Conference, C&C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings (pp. 95-104). Springer. Lecture Notes in Computer Science, 12215. https://doi.org/10.1007/978-3-030-50267-6_8

The research was funded by Strategic Research Council at the Research Council of Finland.


JYU authors or editors


Publication details

All authors or editors: Karvonen, Antero

Parent publication: Culture and Computing. 8th International Conference, C&C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings

Parent publication editors: Rauterberg, Matthias

Conference:

  • International Conference on Human-Computer Interaction

Place and date of conference: Copenhagen, Denmark, 19.-24.7.2020

ISBN: 978-3-030-50266-9

eISBN: 978-3-030-50267-6

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

eISSN: 1611-3349

Publication year: 2020

Number in series: 12215

Pages range: 95-104

Number of pages in the book: 462

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.1007/978-3-030-50267-6_8

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/73853


Abstract

Ethics and ethical information processing are an important problem for AI development. It is important for self-evident reasons, but also challenging in its’ implications and should be welcomed by designers and developers as an interesting technical challenge. This article explores AI ethics as a design problem and lays out how cognitive mimetics could be used a method for its design. AI ethics is conceptualized as a problem of implementation on the one hand, and as a problem of ethical contents on the other. From the viewpoint of human information processing, ethics becomes a special case of ethical information processing - one that has deep implications in terms of AI abilities and information contents. Here we focus on ethical information processing as a property of the system (rather as a general constraint on it). We explore three specific concepts relevant for cognitive mimetics from the perspective of ethics: tacit knowledge, ontologies, and problem restructuring. We close with a general discussion on the difference between abilities and mental contents noted as relevant in previous articles on cognitive mimetics and reiterate its importance in this context as well.


Keywords: artificial intelligence; knowledge technology; system design; tacit knowledge; ethics

Free keywords: AI ethics; AI design; cognitive mimetics; mimetic design


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Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 0


Last updated on 2023-03-10 at 12:06