Value Alignment, Fair Play, and the Rights of Service Robots

TL;DR

This paper revisits Turing's concept of fair play to propose a new perspective on AI alignment, emphasizing mutual accommodation and extending rights to service robots as a means of fostering alignment of interests.

Contribution

It offers a novel interpretation of the Turing test based on fair play as a measure of value alignment and discusses extending robot rights to promote human-machine interest alignment.

Findings

Fair play interpretation links Turing test to value alignment

Extending robot rights can promote mutual interest alignment

Reframes AI safety discussions within a fairness and rights context

Abstract

Ethics and safety research in artificial intelligence is increasingly framed in terms of "alignment" with human values and interests. I argue that Turing's call for "fair play for machines" is an early and often overlooked contribution to the alignment literature. Turing's appeal to fair play suggests a need to correct human behavior to accommodate our machines, a surprising inversion of how value alignment is treated today. Reflections on "fair play" motivate a novel interpretation of Turing's notorious "imitation game" as a condition not of intelligence but instead of value alignment: a machine demonstrates a minimal degree of alignment (with the norms of conversation, for instance) when it can go undetected when interrogated by a human. I carefully distinguish this interpretation from the Moral Turing Test, which is not motivated by a principle of fair play, but instead depends on imitation of human moral behavior. Finally, I consider how the framework of fair play can be used to situate the debate over robot rights within the alignment literature. I argue that extending rights to service robots operating in public spaces is "fair" in precisely the sense that it encourages an alignment of interests between humans and machines.