Ethical machine decisions and the input-selection problem
| Autor: | Lundgren, Björn, LS Moral Psychology & Social Philosophy, OFR - non-affiliated publications |
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| Přispěvatelé: | LS Moral Psychology & Social Philosophy, OFR - non-affiliated publications |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Opacity
Decision support system Filosofi Computer science Metaphysics Etik Factual uncertainty Transparency Cost–beneft Philosophy of language AI ethics Datachoices Input choices Philosophy Ethics and Religion Input selection Data protection Ethics Philosophy of science Time-sensitive machine decisions Management science Uncertainty General Social Sciences Filosofi etik och religion Input-selection problem Philosophy Privacy Data choices Robot Normative Machine decisions Trade-ofs Ai systems |
| Zdroj: | Synthese, 199. Springer Netherlands |
| ISSN: | 0039-7857 |
| Popis: | This article is about the role of factual uncertainty for moral decision-making as it concerns the ethics of machine decision-making (i.e., decisions by AI systems, such as autonomous vehicles, autonomous robots, or decision support systems). The view that is defended here is that factual uncertainties require a normative evaluation and that ethics of machine decision faces a triple-edged problem, which concerns what a machine ought to do, given its technical constraints, what decisional uncertainty is acceptable, and what trade-offs are acceptable to decrease the decisional uncertainty. Part of a collection: Indeterminacy and Underdetermination. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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