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An ontology of gradualist machine ethics
Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för informatik.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0001-9379-4281
2023 (Engelska)Ingår i: 2023 Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII), IEEE, 2023, s. 88-95Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Ethical gradualism is the idea that whether an entity possesses morality is not a yes-or-no question, but rather has answers on a gradual scale. Our paper contributes to the field of machine ethics by replacing the often used, and variously construed, concept of computer "morality"with the more specific concept of "moral relevance". This we define as "the characteristic of having some connection to the moral domain". Our definition requires that an entity's perceived moral relevance can be obtained as an aggregate of multi-axial, continuous-variable moral characteristics such as, but not limited to, patiency, responsibility, and autonomy. These characteristics can furthermore be broken down into concrete sub- (and sub-sub-, etc.) characteristics which are easier to measure in the real world. This gradualist model of perceived moral relevance can then be practically implemented through translation into Web Ontology Language. We depict moral relevance both graphically as a class hierarchy, and in computer code. Our implementation allows computers to recognize perceived moral relevance in other computers. This provides a basic architecture by which computers can learn perceived ethical behavior only by acting with one another. The implementation also makes possible a new kind of experimental moral psychology, in which researchers can compare gradual perceived moral relevance directly between humans and computers.

Ort, förlag, år, upplaga, sidor
IEEE, 2023. s. 88-95
Nyckelord [en]
machine ethics, moral psychology, moral relevance, Web Ontology Language
Nationell ämneskategori
Filosofi
Identifikatorer
URN: urn:nbn:se:umu:diva-224267DOI: 10.1109/CEII60565.2023.00024Scopus ID: 2-s2.0-85192249420ISBN: 979-8-3503-0696-5 (digital)ISBN: 979-8-3503-0697-2 (tryckt)OAI: oai:DiVA.org:umu-224267DiVA, id: diva2:1857552
Konferens
6th Asia Conference on Cognitive Engineering and Intelligent Interaction, CEII 2023, Hong Kong, Hong Kong, December 15-16, 2023
Tillgänglig från: 2024-05-14 Skapad: 2024-05-14 Senast uppdaterad: 2024-05-14Bibliografiskt granskad

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Campano, ErikBrännström, Andreas

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Institutionen för informatikInstitutionen för datavetenskap
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