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Facial Age Estimation: A Research Roadmap for Technological and Legal Development and Deployment. A White Paper

Guest, Richard and Lievens, Eva and Sas, Martin and Botoeva, Elena and Adeyemo, Temitope and Verdoodt, Valerie and Fernandes, Elora and Allgrove, Chris (2025) Facial Age Estimation: A Research Roadmap for Technological and Legal Development and Deployment. A White Paper. [Preprint] (doi:10.48550/arXiv.2505.22401) (KAR id:114636)

Abstract

Automated facial age assessment systems operate in either estimation mode - predicting age based on facial traits, or verification mode - confirming a claimed age. These systems support access control to age-restricted goods, services, and content, and can be used in areas like e-commerce, social media, forensics, and refugee support. They may also personalise services in healthcare, finance, and advertising. While improving technological accuracy is essential, deployment must consider legal, ethical, sociological, alongside technological factors. This white paper reviews the current challenges in deploying such systems, outlines the relevant legal and regulatory landscape, and explores future research for fair, robust, and ethical age estimation technologies.

Item Type: Preprint
DOI/Identification number: 10.48550/arXiv.2505.22401
Projects: 26392 Explainable and bias-free age verification: a roadmap for future deployment
Refereed: No
Name of pre-print platform: arxiv
Subjects: K Law > K Law (General)
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Institutional Unit: Schools > School of Computing
Former Institutional Unit:
There are no former institutional units.
Depositing User: Elena Botoeva
Date Deposited: 09 May 2026 14:09 UTC
Last Modified: 18 May 2026 15:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/114636 (The current URI for this page, for reference purposes)

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