Minimum Levels of Interpretability for Artificial Moral Agents

Avish Vijayaraghavan, Cosmin Badea
7/2/2023
cs.AIcs.CY

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Abstract

As artificial intelligence (AI) models continue to scale up, they are becoming more capable and integrated into various forms of decision-making systems. For models involved in moral decision-making, also known as artificial moral agents (AMA), interpretability provides a way to trust and understand the agent's internal reasoning mechanisms for effective use and error correction. In this paper, we provide an overview of this rapidly-evolving sub-field of AI interpretability, introduce the concept of the Minimum Level of Interpretability (MLI) and recommend an MLI for various types of agents, to aid their safe deployment in real-world settings.

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Cite this paper

@article{vijayaraghavan2023minimum,
  title  = {Minimum Levels of Interpretability for Artificial Moral Agents},
  author = {Avish Vijayaraghavan and Cosmin Badea},
  year   = {2023},
  eprint = {2307.00660},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.00660v1}
}

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