Organizer: European Association for Biometrics
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Attendance is free of charge but registration is required.
Speakers: Richard Guest (University of Southampton), Eva Lievens (Ghent University), Martin Sas (KU Leuven)
Registration (ext.)
In this talk, In this talk, Richard Guest, Eva Lievens and Martin Sas will discuss the future of Facial Age Estimation.
Automated facial age estimation systems provide technology-based solution for verifying or attributing a person’s age from a facial image. Whilst it is important to enhance the technological performance of systems, it is vital that deployment is considered across disciplines, encompassing legal, ethical, sociological, and technological spheres and, importantly, the interface between them.
In this talk, the presenters will assess:
- The current range of the deployment of systems and the future application demands of the technology,
- The legal and regulatory framework within which the technologies operate and
- Future research and development questions and requirements for robust, fair, and ethical use of systems
Curriculum vitæ
Richard Guest is Professor of Biometric Technologies at the University of Southampton, UK. He is an appointed member of the UK Home Office Biometrics and Forensics Ethics Group advising the UK Government on the use of biometric technologies. His research interests include mobile technologies, age estimation, testing and ethical use and explainability.
Eva Lievens is an Associate Professor of Law & Technology at Ghent University, Belgium. She researches the legal impact of technology design and deployment, human and children’s rights in the digital environment, and alternative regulatory instruments to regulate tech phenomena.
Martin Sas is a doctoral researcher at the Centre for IT and IP law (CiTiP) at KL Leuven, Belgium and is financed by the FWO PROGRRES project. Martin explores a wide range of topics, including data protection regulation and children's rights, age-appropriate designs, behavioural designs and dark patterns, age verification systems, privacy-enhancing techniques, and risk management methodologies.
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