Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring

Antero Karvonen

doi:10.1007/978-3-030-50267-6_8

Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring

Antero Karvonen^*

^*Corresponding author for this work

Not published at VTT

University of Jyväskylä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Culture and Computing - 8th International Conference, C and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
Editors	Matthias Rauterberg
Publisher	Springer
Pages	95-104
ISBN (Print)	978-3-03-050266-9
DOIs	https://doi.org/10.1007/978-3-030-50267-6_8
Publication status	Published - 2020
MoE publication type	A4 Article in a conference publication
Event	8th International Conference on Culture and Computing, C and C 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark Duration: 19 Jul 2020 → 24 Jul 2020

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12215
ISSN	0302-9743

Conference

Conference	8th International Conference on Culture and Computing, C and C 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/Territory	Denmark
City	Copenhagen
Period	19/07/20 → 24/07/20

Funding

This work is funded by the Finnish Academy through the ETAIROS (https:// etairos.fi/en/front-page/) project.

Keywords

AI design
AI ethics
Cognitive mimetics
Mimetic design

Access to Document

10.1007/978-3-030-50267-6_8

Cite this

Karvonen, Antero. / Cognitive Mimetics for AI Ethics : Tacit Knowledge, Action Ontologies and Problem Restructuring. Culture and Computing - 8th International Conference, C and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. editor / Matthias Rauterberg. Springer, 2020. pp. 95-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12215).

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title = "Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring",

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{\textquoteright} 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 = "AI design, AI ethics, Cognitive mimetics, Mimetic design",

author = "Antero Karvonen",

note = "Funding Information: This work is funded by the Finnish Academy through the ETAIROS (https:// etairos.fi/en/front-page/) project. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th International Conference on Culture and Computing, C and C 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 ; Conference date: 19-07-2020 Through 24-07-2020",

year = "2020",

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isbn = "978-3-03-050266-9",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

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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 and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12215, pp. 95-104, 8th International Conference on Culture and Computing, C and C 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, Copenhagen, Denmark, 19/07/20. https://doi.org/10.1007/978-3-030-50267-6_8

Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring. / Karvonen, Antero.
Culture and Computing - 8th International Conference, C and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. ed. / Matthias Rauterberg. Springer, 2020. p. 95-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12215).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Karvonen, Antero

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - AI design

KW - AI ethics

KW - Cognitive mimetics

KW - Mimetic design

UR - https://www.scopus.com/pages/publications/85089166111

U2 - 10.1007/978-3-030-50267-6_8

DO - 10.1007/978-3-030-50267-6_8

M3 - Conference article in proceedings

AN - SCOPUS:85089166111

SN - 978-3-03-050266-9

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 95

EP - 104

BT - Culture and Computing - 8th International Conference, C and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings

A2 - Rauterberg, Matthias

PB - Springer

Y2 - 19 July 2020 through 24 July 2020

ER -

Karvonen A. Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring. In Rauterberg M, editor, Culture and Computing - 8th International Conference, C and C 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings. Springer. 2020. p. 95-104. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12215). doi: 10.1007/978-3-030-50267-6_8

Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring

Abstract

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