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Real-world ethics for self-driving cars
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6020-1785
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Chalmers University of Technology, University of Gothenburg, Gothenburg, Sweden.ORCID iD: 0000-0001-9881-400X
Chalmers University of Technology, University of Gothenburg, Gothenburg, Sweden; University of l'Aquila, L'Aquila, Italy.
2020 (English)In: Proceedings - 2020 ACM/IEEE 42nd International Conference on Software Engineering: Companion, ICSE-Companion 2020, IEEE Computer Society , 2020, p. 328-329Conference paper, Published paper (Refereed)
Abstract [en]

Ethical and social problems of the emerging technology of selfdriving cars can best be addressed through an applied engineeringethical approach. However, currently social and ethical problemsare typically being presented in terms of an idealized unsolvabledecision-making problem, the so-called Trolley Problem. Instead,we propose that ethical analysis should focus on the study of ethicsof complex real-world engineering problems. As software plays acrucial role in the control of self-driving cars, software engineeringsolutions should handle actual ethical and social considerations. Wetake a closer look at the regulative instruments, standards, design,and implementations of components, systems, and services and wepresent practical social and ethical challenges that must be met inthe ecology of the socio-technological system of self-driving carswhich implies novel expectations for software engineering in theautomotive industry. 

Place, publisher, year, edition, pages
IEEE Computer Society , 2020. p. 328-329
Keywords [en]
Autonomous Cars, Challenges, Decision Making, Ethics, Self-Driving Cars, Social Aspects, Software Engineering, Trolley Problem, Philosophical aspects, Service industry, Emerging technologies, Engineering problems, Real-world, Self drivings, Social problems, Socio-technological systems, Autonomous vehicles
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-52394DOI: 10.1145/3377812.3390801ISI: 000637244600107Scopus ID: 2-s2.0-85098561164ISBN: 9781450371223 (print)OAI: oai:DiVA.org:mdh-52394DiVA, id: diva2:1499916
Conference
42nd ACM/IEEE International Conference on Software Engineering, ICSE-Companion 2020; Virtual, Online; South Korea; 27 June 2020 through 19 July 2020
Available from: 2020-11-10 Created: 2020-11-10 Last updated: 2021-06-15Bibliographically approved

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Holstein, TobiasDodig-Crnkovic, Gordana

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