Biological-Age Scoring and the Risk of Algorithmic Age Discrimination: An Institutional Ethics Framework.

Abstract

Biological-age scores translate biomarkers and other health data into an age, age gap, organ age, or pace-of-aging estimate. Consumer testing is expanding, and actuarial literature has begun to examine these scores, although widespread discriminatory use has not been documented. The ethical concern is anticipatory. Healthcare institutions can give biological-age scores clinical and social authority by interpreting them, entering them into records, and permitting secondary use. These scores warrant focused attention because they express a complex prediction through age, a familiar and legally salient classification that already structures access to employment, insurance, benefits, and care. Social disadvantage is also associated with accelerated biological aging, creating a pathway through which prior injustice could shape later decisions about access, eligibility, or cost. This commentary follows a biological-age score from creation to institutional use and shows how protections attached to particular data types, holders, sectors, regulated conduct, or statutory categories leave no comprehensive rule for decisions based on the derived age classification. It proposes an evidentiary gate, a distinction between supportive and adverse uses, scrutiny of normalizing effects, and procedural safeguards. The framework gives healthcare institutions, clinicians, and ethics committees practical guidance before biological age becomes an ordinary basis for allocating care, opportunity, or cost.