The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial

Travis LaCroix
7/2/2022
cs.AIcs.CLcs.CY

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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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Cite this paper

@article{lacroix2022linguistic,
  title  = {The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial},
  author = {Travis LaCroix},
  year   = {2022},
  eprint = {2207.00868},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.00868v1}
}

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