Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics
CoRR(2023)
摘要
Deontological ethics, specifically understood through Immanuel Kant, provides
a moral framework that emphasizes the importance of duties and principles,
rather than the consequences of action. Understanding that despite the
prominence of deontology, it is currently an overlooked approach in fairness
metrics, this paper explores the compatibility of a Kantian deontological
framework in fairness metrics, part of the AI alignment field. We revisit
Kant's critique of utilitarianism, which is the primary approach in AI fairness
metrics and argue that fairness principles should align with the Kantian
deontological framework. By integrating Kantian ethics into AI alignment, we
not only bring in a widely-accepted prominent moral theory but also strive for
a more morally grounded AI landscape that better balances outcomes and
procedures in pursuit of fairness and justice.
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