TL;DR
This paper emphasizes the importance of autonomous systems clearly identifying themselves to prevent confusion with humans or other entities, proposing design principles to ensure they are not mistaken for non-autonomous agents.
Contribution
It introduces a novel principle for autonomous system design, advocating for explicit self-identification to mitigate misidentification risks in future AI interactions.
Findings
Proposes that autonomous systems should always identify themselves.
Highlights the potential risks of AI being mistaken for humans.
Suggests design guidelines for transparent AI interactions.
Abstract
Sometime in the future we will have to deal with the impact of AI's being mistaken for humans. For this reason, I propose that any autonomous system should be designed so that it is unlikely to be mistaken for anything besides an autonomous sysem, and should identify itself at the start of any interaction with another agent.
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Taxonomy
TopicsComputability, Logic, AI Algorithms