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The Cartographer
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial
July 02, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Travis LaCroix
arXiv ID
2207.00868
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CL,
cs.CY,
cs.LG
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The value-alignment problem for artificial intelligence (AI) asks how we can ensure that the 'values' (i.e., objective functions) of artificial systems are aligned with the values of humanity. In this paper, I argue that linguistic communication (natural language) is a necessary condition for robust value alignment. I discuss the consequences that the truth of this claim would have for research programmes that attempt to ensure value alignment for AI systems; or, more loftily, designing robustly beneficial or ethical artificial agents.
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