Contribution to Book
Safety Intelligence and Legal Machine Language: Do We Need the Three Laws of Robotics?
Formalising Jurisprudence. Festschrift for Hajime Yoshino
(2019)
Abstract
In this chapter we will describe a legal framework for Next Generation Robots (NGRs) that has safety as its central focus. The framework is offered in response to the current lack of clarity regarding robot safety guidelines, despite the development and impending release of tens of thousands of robots into workplaces and homes around the world. We also describe our proposal for a safety intelligence (SI) concept that addresses issues associated with open texture risk for robots that will have a relatively high level of autonomy in their interactions with humans. Whereas Isaac Asimov’s Three Laws of Robotics are frequently held up as a suitable foundation for creating an artificial moral agency for ensuring robot safety, here we will explain our skepticism that a model based on those laws is sufficient for that purpose. In its place we will recommend an alternative legal machine language (LML) model that uses non-verbal information from robot sensors and actuators to protect both humans and robots. To implement a LML model, robotists must design a biomorphic nerve reflex system, and legal scholars must define safety content for robots that have limited “self- awareness.”
Keywords
- Roboethics,
- Three Laws of Robotics,
- Robot Law,
- Machine Ethics
Disciplines
- Engineering and
- Law
Publication Date
Winter February, 2019
Editor
Erich Schweighofer / Michał Araszkiewicz / Friedrich Lachmayer / Marijan Pavčnik (Eds.)
Publisher
Weblaw
ISBN
978-3-96443-725-9
Citation Information
Yueh-Hsuan Weng, Chien-Hsun Chen and Chuen-Tsai Sun. "Safety Intelligence and Legal Machine Language: Do We Need the Three Laws of Robotics?" BernFormalising Jurisprudence. Festschrift for Hajime Yoshino (2019) Available at: http://works.bepress.com/weng_yueh_hsuan/110/