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 editorsKarvonen, Antero

Parent publicationCulture 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 editorsRauterberg, Matthias

Conference:

  • International Conference on Human-Computer Interaction

Place and date of conferenceCopenhagen, Denmark19.-24.7.2020

ISBN978-3-030-50266-9

eISBN978-3-030-50267-6

Journal or seriesLecture Notes in Computer Science

ISSN0302-9743

eISSN1611-3349

Publication year2020

Number in series12215

Pages range95-104

Number of pages in the book462

PublisherSpringer

Place of PublicationCham

Publication countrySwitzerland

Publication languageEnglish

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

Publication open accessNot 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.


Keywordsartificial intelligenceknowledge technologysystem designtacit knowledgeethics

Free keywordsAI ethics; AI design; cognitive mimetics; mimetic design


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Ministry reportingYes

Reporting Year2020

JUFO rating0


Last updated on 2024-26-03 at 09:18