Ontological challenges to Cohabit with Self-taught Robots

Tracking #: 2261-3474

This paper is currently under review
Authors: 
Stefano Borgo

Responsible editor: 
Guest Editor 10-years SWJ

Submission type: 
Full Paper
Abstract: 
When you meet a delivery robot in a narrow street it stops to let you pass. It was built to give you precedence. What happens if you run into a robot that was not trained by or for humans? The existence in our environment of robots which do not abide by human behavioral rules and social systems might sound odd but is a case we may encounter in the near future. In this paper self-taught robots are artificial embodied agents that, thanks for instance to AI learning techniques, manage to survive in the environment without embracing behavioral or judgment rules given and used by humans. The paper argues that our ontological systems are not suitable to cope with artificial agents. The arguments are speculative rather than empirical, and the goal is to drive attention to new ontological challenges.
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Under Review