This chapter argues that AI pluralism, the deliberate differentiation of AI agents to enable multiple situated perspectives in deliberation, provides a crucial link between technical interpretabilityinterpretability and democratic accountabilityaccountability in artificial intelligence systems. As AI increasingly influences high-stakes domains such as healthcare, finance, and criminal justice, the dual challenges of explainability (making AI decisions transparent and understandable) and contestability (enabling meaningful challenge and revision) become paramount.

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Enhancing Explainability and Contestability through AI Pluralism and Rhetorical Argumentation

  • P. Anand Rao

摘要

This chapter argues that AI pluralism, the deliberate differentiation of AI agents to enable multiple situated perspectives in deliberation, provides a crucial link between technical interpretabilityinterpretability and democratic accountabilityaccountability in artificial intelligence systems. As AI increasingly influences high-stakes domains such as healthcare, finance, and criminal justice, the dual challenges of explainability (making AI decisions transparent and understandable) and contestability (enabling meaningful challenge and revision) become paramount.