Pluralistic Alignment Over Time
November 16, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Toryn Q. Klassen, Parand A. Alamdari, Sheila A. McIlraith
arXiv ID
2411.10654
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
cs.LG
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
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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