Cognitive Mimetics for AI Ethics : Tacit Knowledge, Action Ontologies and Problem Restructuring
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
Published inLecture Notes in Computer Science
© Springer Nature Switzerland AG 2020
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. ...
Parent publication ISBN978-3-030-50266-9
ConferenceInternational Conference on Human-Computer Interaction
Is part of 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
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Strategic research programmes, AoF
Additional information about fundingThis work is funded by the Finnish Academy through the ETAIROS (https://etairos.fi/en/front-page/) project.
Showing items with similar title or keywords.
Saariluoma, Pertti (Springer, 2020)Intelligent machines can follow ethical rules in their behaviour. However, it is less clear whether intelligent systems can also create new ethical principles. The former position can be called weak ethical AI and the ...
Learning to Read Equine Agency : Sense and Sensitivity at the Intersection of Scientific, Tacit and Situated Knowledges Karkulehto, Sanna; Schuurman, Nora (University of Wollongong Library, 2021)The aim of this essay is to address the challenges and problems in communicating with horses and interpreting their communication in everyday handling and training situations. We seek ways to learn more about equine ...
Vakkuri, Ville; Kemell, Kai-Kristian (Springer, 2019)As Artificial Intelligence (AI) systems exert a growing influence on society, real-life incidents begin to underline the importance of AI Ethics. Though calls for more ethical AI systems have been voiced by scholars and ...
Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka (Springer, 2019)Artificial intelligence (AI) is becoming increasingly widespread in system development endeavors. As AI systems affect various stakeholders due to their unique nature, the growing influence of these systems calls for ethical ...
Vakkuri, Ville; Kemell, Kai-Kristian; Abrahamsson, Pekka (IEEE, 2020)Various recent Artificial Intelligence (AI) system failures, some of which have made the global headlines, have highlighted issues in these systems. These failures have resulted in calls for more ethical AI systems that ...