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  Self-driving Cars in Dilemmatic Situations : An Approach Based on the Theory of Justification in Criminal Law

Coca-Vila, I. (2018). Self-driving Cars in Dilemmatic Situations: An Approach Based on the Theory of Justification in Criminal Law. Criminal Law and Philosophy, 12, 59-82. doi:10.1007/s11572-017-9411-3.

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Coca-Vila, Ivó1, Author           
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 Abstract: This article puts forward solutions to some of the ethical and legal dilemmas posed in the current discussion on how to program crash algorithms in autonomous or self-driving cars. The first part of the paper defines the scope of the problem in the criminal legal field, and the next section gives a critical analysis of the proposal to always prioritise the interest of the occupant of the vehicle in situations with conflict of interests. The principle of minimizing social damage as a model for configuring self-driving cars is examined in the third section. Despite its apparent plausibility, within the framework of a liberal legal system that recognises humans as free agents who have rights and responsibilities, maximizing the function of social utility does not justify harmful interference into a person’s legal sphere. Therefore, in the fourth part, the author argues the need to program the crash algorithms of autonomous cars based on a deontological understanding of the system of justifications in criminal law. The solution to the dilemma lies in a prior analysis of the legal positions of all agents involved in the conflict, from a perspective of the principles of autonomy and solidarity as the core of the system of justifications.

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Language(s): eng - English
 Dates: 2017-01-052018-01-01
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/s11572-017-9411-3
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Title: Criminal Law and Philosophy
Source Genre: Journal
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Pages: - Volume / Issue: 12 Sequence Number: - Start / End Page: 59 - 82 Identifier: ISSN: 1871-9791