Algorithmic Fairness Through the Lens of Aristotelian Justice
Fairness metrics are theories of desert; wrongs demand rectification; and every algorithm needs an equity override. Book V applied to algorithmic decision systems, with a three-question test.
Accountability by Design: An Aristotelian Framework for Government AI
Four pillars — Knowledge, Named agency, Redress, Review — grounded in Books II, III, and V, with a ten-point implementation checklist for government AI systems.
Applying the Mean: Calibrating Between Innovation and Precaution
A five-step method for resolving "innovate vs. regulate" standoffs: name the extremes as vices, list the particulars, locate the mean deliberatively, and set review triggers.
Aristotle on Justice: Distributive, Corrective, and Equitable
Book V's three kinds of justice — distributive, corrective, and equitable — supply a complete architecture for algorithmic fairness, redress, and human override.
