A User-Centric Context-Aware Framework for Real-Time Optimisation of Multimedia Data Privacy Protection, and Information Retention Within Multimodal AI Systems

The increasing use of AI systems for face, object, action, scene, and emotion recognition raises significant privacy risks, particularly when processing Personally Identifiable Information (PII). Current privacy-preserving methods lack adaptability to users’ preferences and contextual requirements,...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 25; no. 19; p. 6105
Main Authors:	Topalli, Ndricim, Badii, Atta
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 03.10.2025
Subjects:	Algorithms Artificial Intelligence Biometrics Biometry Compliance Computer Security Data integrity data intelligibility Decision making Facial recognition technology hard biometrics Humans Machine learning Multimedia multimodal data Ontology Privacy privacy engineering Privacy, Right of re-identification Semantics soft biometrics Usability User behavior privacy protection dynamic privacy adaptation privacy engineering data intelligibility real-time data obfuscation re-identification user-centric privacy context-aware AI hard biometrics multimodal data GDPR compliance soft biometrics
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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