A new academic article argues that the current focus on AI alignment is insufficient for addressing the broader issue of AI legitimacy. The paper posits that legitimacy, defined as the belief among those subject to AI's power that it is exercised rightfully, is a distinct and crucial regulatory objective. It identifies opacity, private corporate power, and administrative automation within the state as key areas where AI legitimacy falters. To address these issues, the article proposes three principles: integration of AI rule-setting into authoritative venues, familiarity of rules and reasons in credible forms, and contestation with real remedies. AI
IMPACT Highlights the need for a new regulatory framework for AI, focusing on public trust and authorization beyond technical alignment.
RANK_REASON Academic paper published on arXiv discussing AI policy and societal impact. [lever_c_demoted from research: ic=1 ai=1.0]
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