Introduces a normative framework for protecting temporal authorship in AI, suggesting new governance conditions.
Artificial intelligence systems increasingly make consequential decisions that bind individuals’ future selves to judgments made about their past selves. This paper introduces a clarificatory and integrative normative framework to address a significant ethical threat arising from this practice: temporal domination. We argue for Temporal Authorship as a distinct diachronic standing claim: the right of persons to author their own lives across time, free from the indefinite binding of their identity to historical patterns by algorithmic systems. This paper puts forward a normative account that offers a powerful framework for governing delegated inquiry. We show that existing AI ethics and governance frameworks, while valuable, systematically under-specify this temporal dimension by treating authorization as a one-time event. We derive four non-compensatory conditions for protecting Temporal Authorship—epistemic transparency, normative justification, institutional contestability, and temporal reversibility—which together constitute Bounded Inquiry, a new normative architecture for the democratic governance of delegated inquiry. This framework advances a defensible governance condition: delegation without continuous renewal is presumptively illegitimate. By shifting the focus from regulating system behavior to governing system authority, Bounded Inquiry provides a new, legitimacy-preserving foundation for the ethics of AI.
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Ghassan Abukar (2026) studied this question.
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