45 Pages Posted: 26 Feb 2016 Last revised: 16 Mar 2016
Date Written: February 24, 2016
This article closely examines a half century of case law involving robots—just in time for the technology itself to enter the mainstream. Most of the cases involving robots have never found their way into legal scholarship. And yet, taken collectively, these cases reveal much about the assumptions and limitations of our legal system. Robots blur the line between people and instrument, for instance, and faulty notions about robots lead jurists to questionable or contradictory results.
The article generates in all nine case studies. The first set highlights the role of robots as the objects of American law. Among other issues, courts have had to decide whether robots represent something “animate” for purposes of import tariffs, whether robots can “perform” as that term is understood in the context of a state tax on performance halls, and whether a salvage team “possesses” a shipwreck it visits with an unmanned submarine.
The second set of case studies focuses on robots as the subjects of judicial imagination. These examples explore the versatile, often pejorative role robots play in judicial reasoning itself. Judges need not be robots in court, for instance, or apply the law robotically. The robotic witness is not to be trusted. And people who commit crimes under the robotic control of another might avoid sanction.
Together these case studies paint a nuanced picture of the way courts think about an increasingly important technology. Themes and questions emerge that illuminate the path of robotics law and test its central claims to date. The article concludes that jurists on the whole possess poor, increasingly outdated views about robots and hence will not be well positioned to address the novel challenges they continue to pose.
Keywords: law, robotics, robots
Suggested Citation: Suggested Citation
Calo, Ryan, Robots in American Law (February 24, 2016). University of Washington School of Law Research Paper No. 2016-04. Available at SSRN: https://ssrn.com/abstract=2737598
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