Conceptio › Archive › PhilArchive
PhilArchive open access

The Trolley Problem and Isaac Asimov’s First Law of Robotics

Persson, Erik et al. · 2024
PhilArchive · Papers · 2024
Open Source ↗
philosophy
How to make robots safe for humans is intensely debated, within academia as well as in industry, media and on the political arena. Hardly any discussion of the subject fails to mention Isaac Asimov’s three laws of Robotics. We find it curious that a set of fictional laws can have such a strong impact on discussions about a real-world problem and we think this needs to be looked into. The probably most common phrase in connection with robotic and AI ethics, second to “The Three Laws of Robotics”, is “The Trolley Problem”. Asimov’s laws and the Trolley Problem are usually discussed separately but there is a connection in that the Trolley Problem poses a seemingly unsolvable problem for Asimov’s First Law, that states: A robot may not injure a human being or, through inaction, allow a human being to come to harm. That is, it contains an active and a passive clause and obliges the robot to obey both, while the Trolley Problem forces us to choose between these two options. The object of this paper is therefore to investigate if and how Asimov’s First Law of Robotics can handle a situation where we are forced to choose between the active and the passive clauses of the law. We discuss four possible solutions to the challenge explicitly or implicitly used by Asimov. We conclude that all four suggestions would solve the problem but in different ways and with different implications for other dilemmas in robot ethics. We also conclude that considering the urgency of finding ways to secure a safe coexistence between humans and robots, we should not let the Trolley Problem stand in the way of using the First Law of robotics for this purpose. If we want to use Asimov’s laws for this purpose, we also recommend discarding the active clause of the First Law.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 731003
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive