Privacy in the Age of Artificial Intelligence

Fereniki Panagopoulou
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Fereniki Panagopoulou: Assistant Professor, Panteion University, Greece

Biomedical Journal of Scientific & Technical Research, 2024, vol. 55, issue 5, 47429-47434

Abstract: The extensive collection and general processing of our personal data that is necessary for the operation of artificial intelligence raises important concerns regarding the compatibility of technology with the privacy of individuals. A wealth of data being used within artificial intelligence constitutes personal data (Igglezakis [1]), while many of these data fall under special categories (Article 9(1) GDPR) (sensitive data). In this respect, for the functioning of artificial intelligence, the collection and processing of large data sets, which are difficult to place under the control of data subjects, is required. The reliance of artificial intelligence on data has created a critical paradox: while a greater volume of data enhances the accuracy of artificial intelligence outcomes, it also heightens the risk of privacy violations by malicious actors (Khatri [2]) seeking to retrieve sensitive information (Dilmegani [3]).

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:55:y:2024:i:5:p:47429-47434

DOI: 10.26717/BJSTR.2024.55.008761

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