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Artificial Intelligence and Personal Data Protection. An Outline of the Problem
Abstract
The aim of this article is the analyze the risks to the protection of personal data arising from their processing by AI systems and to identify solutions to minimize these risks. The study uses a dogmatic-legal method, based on an analysis of existing regulations and literature on the subject. The results of the study indicate significant gaps in the regulations and the need to implement protective measures, such as data anonymization and algorithm audits. The findings can form the basis for further research and legislative action on data protection in AI systems.
Keywords:
artificial intelligence, data protection, privacy, recommendations, risksDetails
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.