HEC forum : an interdisciplinary journal on hospitals' ethical and legal issuesAug 20, 2026

Using Biological Age Scores and the Risk of Age Bias in Algorithms: An Ethics Guide for Organizations

Longevity & Aging Weekly Brief ↗PubMed ↗DOI ↗

Updated Aug 21, 2026

Abstract

Biological-age scores translate health data into age estimates, which may influence access to healthcare and resources.

Consumer testing of biological-age scores is increasing, but widespread discriminatory use has not yet been documented.
These scores may grant clinical and social authority when interpreted and recorded by healthcare institutions.
Social disadvantage could be linked to accelerated biological aging, potentially influencing decisions about access and eligibility.
Current data protections do not comprehensively address decisions based on biological-age classifications.
A proposed framework includes evidentiary gates, scrutiny of normalization effects, and procedural safeguards for ethical use.

Simplified

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.

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Using Biological Age Scores and the Risk of Age Bias in Algorithms: An Ethics Guide for Organizations

Abstract

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