Modern institutions do not answer to one norm at a time. They are pressed simultaneously by heterogeneous demands: truth, efficiency, care, legality, inclusion, profitability, technical performance, sustainability and public accountability. Artificial intelligence intensifies this condition by translating and compressing plural goods into forms more easily optimized, ranked, and administered. This paper argues that beyond familiar concerns about bias, opacity, or misuse, there deformation of judgment risks under mixed normativities. Where competing goods are in play, no rule, metric, or output can settle in advance what should count most, here and now, and at whose expense. Judgment cannot therefore be post-hoc residual supplement to rational systems; it is the practical activity by which irreducibly different claims are rendered answerable in action. On this view, artificial intelligence often offers pseudo-resolutions: it gives the appearance of commensuration where conflict, remainder, and contestability still persist. This paper develops a humanities-based account of judgment as the medium through which institutions can confront normative plurality without collapsing into either technocratic flattening or moral vagueness. What artificial intelligence exposes is not the obsolescence of judgment, but how much institutional life depends upon formed capacities for salience, ranking, contestation, and public answerability prior to and concurrent with the need to exercise them wisely - only now with increased scales, speeds, and stakes. Not assuming that the full suite of needed judgment capacities are in place to navigate well the normative sea of priorities and values is only the first challenge for leaders and managers. It's not the last.

Authors:
Ken Howarth, Mercer County Community College, United States

About the Presenter(s)
Ken Howarth is a Professor of Philosophy working on practical, ethical-epistemic frameworks for judgment formation maintenance under dynamical conditions of uncertainty, urgency and individual and institutional stress across domains.

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