Pluralistic Alignment Over Time

Toryn Q. Klassen, Parand A. Alamdari, Sheila A. McIlraith
11/16/2024
cs.AIcs.CYcs.LG

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Abstract

If an AI system makes decisions over time, how should we evaluate how aligned it is with a group of stakeholders (who may have conflicting values and preferences)? In this position paper, we advocate for consideration of temporal aspects including stakeholders' changing levels of satisfaction and their possibly temporally extended preferences. We suggest how a recent approach to evaluating fairness over time could be applied to a new form of pluralistic alignment: temporal pluralism, where the AI system reflects different stakeholders' values at different times.

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Cite this paper

@article{klassen2024pluralistic,
  title  = {Pluralistic Alignment Over Time},
  author = {Toryn Q. Klassen and Parand A. Alamdari and Sheila A. McIlraith},
  year   = {2024},
  eprint = {2411.10654},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2411.10654v1}
}

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