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

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Culture and Computing (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12215))

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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.

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Acknowledgements

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

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  1. University of Jyväskylä, Jyväskylä, Finland

    Antero Karvonen

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  1. Antero Karvonen
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Correspondence to Antero Karvonen .

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  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Matthias Rauterberg

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Karvonen, A. (2020). Cognitive Mimetics for AI Ethics: Tacit Knowledge, Action Ontologies and Problem Restructuring. In: Rauterberg, M. (eds) Culture and Computing. HCII 2020. Lecture Notes in Computer Science(), vol 12215. Springer, Cham. https://doi.org/10.1007/978-3-030-50267-6_8

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50266-9

  • Online ISBN: 978-3-030-50267-6

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