Unfallalgorithmen
Self-driving vehicles are one of today’s most significant disruptive technologies. This research is dedicated to the ethical discourse of specific unavoidable accident scenarios, addressing the ethical design of crash algorithms. Building on a critique of existing approaches, an alternative perspect...
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| Format: | Online |
| Idioma: | alemany |
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Nomos
2024
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| Accés en línia: | ONIX_20241210_9783495992043_12 |
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| _version_ | 1869515518923243520 |
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| author | Schäffner, Vanessa |
| author_browse | Schäffner, Vanessa |
| author_facet | Schäffner, Vanessa |
| author_sort | Schäffner, Vanessa |
| collection | Directory of Open Access Books |
| description | Self-driving vehicles are one of today’s most significant disruptive technologies. This research is dedicated to the ethical discourse of specific unavoidable accident scenarios, addressing the ethical design of crash algorithms. Building on a critique of existing approaches, an alternative perspective is outlined which integrates contextual factors, decision-theoretical parameters, and metaethical arguments. It utilises concepts from ethics of risk in order to emphasize normative implications for previously unresolved ethical questions. Finally, drawing upon a deontological framework from ethics of risk, the reasonableness and fairness of reciprocal risk imposition are justified as central criteria of a coherent risk practice. |
| format | Online |
| id | doab-20.500.12854ir-148428 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Nomos |
| publisherStr | Nomos |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1484282024-12-10T13:28:58Z Unfallalgorithmen Schäffner, Vanessa Künstliche Intelligenz, Digitale Ethik, Maschinenethik, Deontologische Risikoethik, Autonome Fahrsysteme, Dilemmaszenarien, Ethics-by design thema EDItEUR::L Law::LA Jurisprudence and general issues::LAB Methods, theory and philosophy of law Self-driving vehicles are one of today’s most significant disruptive technologies. This research is dedicated to the ethical discourse of specific unavoidable accident scenarios, addressing the ethical design of crash algorithms. Building on a critique of existing approaches, an alternative perspective is outlined which integrates contextual factors, decision-theoretical parameters, and metaethical arguments. It utilises concepts from ethics of risk in order to emphasize normative implications for previously unresolved ethical questions. Finally, drawing upon a deontological framework from ethics of risk, the reasonableness and fairness of reciprocal risk imposition are justified as central criteria of a coherent risk practice. 2024-12-10T13:28:57Z 2024-12-10T13:28:57Z 2024 book ONIX_20241210_9783495992043_12 9783495992043 9783495992036 https://directory.doabooks.org/handle/20.500.12854/148428 ger Ethics, Law and AI image/png Attribution 4.0 International https://www.nomos-shop.de/de/p/unfallalgorithmen-gr-978-3-495-99203-6 https://www.doi.org/10.5771/9783495992043 Nomos Verlag Karl Alber 10.5771/9783495992043 Self-driving vehicles are one of today’s most significant disruptive technologies. This research is dedicated to the ethical discourse of specific unavoidable accident scenarios, addressing the ethical design of crash algorithms. Building on a critique of existing approaches, an alternative perspective is outlined which integrates contextual factors, decision-theoretical parameters, and metaethical arguments. It utilises concepts from ethics of risk in order to emphasize normative implications for previously unresolved ethical questions. Finally, drawing upon a deontological framework from ethics of risk, the reasonableness and fairness of reciprocal risk imposition are justified as central criteria of a coherent risk practice. 10.5771/9783495992043 b427c412-0aca-411d-ab1b-6dbe655f015b 4720d49e-8a88-46f7-b129-7cbae4d0c1a2 fde7d88f-8069-4c4c-9832-ca7d8503e2df 960593b8-528c-4abc-b29f-df738f66dda6 9783495992043 9783495992036 Verlag Karl Alber 2 430 Baden-Baden [...] [...] [...] Hanns-Seidel-Stiftung Hanns Seidel Foundation 10.13039/501100016117 open access |
| spellingShingle | Künstliche Intelligenz, Digitale Ethik, Maschinenethik, Deontologische Risikoethik, Autonome Fahrsysteme, Dilemmaszenarien, Ethics-by design thema EDItEUR::L Law::LA Jurisprudence and general issues::LAB Methods, theory and philosophy of law Schäffner, Vanessa Unfallalgorithmen |
| title | Unfallalgorithmen |
| title_full | Unfallalgorithmen |
| title_fullStr | Unfallalgorithmen |
| title_full_unstemmed | Unfallalgorithmen |
| title_short | Unfallalgorithmen |
| title_sort | unfallalgorithmen |
| topic | Künstliche Intelligenz, Digitale Ethik, Maschinenethik, Deontologische Risikoethik, Autonome Fahrsysteme, Dilemmaszenarien, Ethics-by design thema EDItEUR::L Law::LA Jurisprudence and general issues::LAB Methods, theory and philosophy of law |
| topic_facet | Künstliche Intelligenz, Digitale Ethik, Maschinenethik, Deontologische Risikoethik, Autonome Fahrsysteme, Dilemmaszenarien, Ethics-by design thema EDItEUR::L Law::LA Jurisprudence and general issues::LAB Methods, theory and philosophy of law |
| url | ONIX_20241210_9783495992043_12 |
| work_keys_str_mv | AT schaffnervanessa unfallalgorithmen |