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.
Building Virtuous Institutions: Habituation for Public Agencies
Institutions are habituation machines. Four mechanisms that build agency character, two institutional vices (ethics-washing and akrasia), and a compliance-to-character maturity ladder.
Eudaimonia: Human Flourishing as the Goal of AI Governance
Aristotle's eudaimonia gives AI governance a purpose test stronger than efficiency: does the system expand citizens' ability to live well? Includes three concrete policy moves.
FAQ and Further Reading: The Nicomachean Ethics for AI Policy
A reading path through the primary text, how to cite with Bekker numbers, compatibility with rights- and risk-based frameworks, handling Aristotle's historical limitations, and further reading.
