Challenges and threats of personal data protection in working with artificial intelligence

Abstract

With the development of artificial intelligence technologies, there are new opportunities to use personal data for various purposes, such as machine learning, process automatization and management of large volumes of information. However, along with these opportunities, questions arise regarding the protection of personal data privacy and the observance of human rights. This article aims to explore the challenges and threats that are becoming relevant in the context of the use of artificial intelligence from the perspective of legal scholars.
 This research paper explores the challenges and threats associated with the protection of personal data when working with artificial intelligence (AI). The growing role of AI in various spheres of life causes the need to exchange and process a large amount of personal data. However, this process raises serious privacy and security issues.
 The article analyzes the main challenges, in particular, the instability of technological progress, which complicates the development of effective methods of personal data protection. The problem of processing a large amount of data while ensuring its confidentiality and integrity is also investigated. Important attention is paid to the problem of identification and management of risks related to the protection of personal data in the context of AI.
 The article also identifies threats to the security of personal data when working with AI. The author consider the possibility of unauthorized access to personal data, identity theft, and the possibility of using AI to manipulate data for the purpose of fraud or discrimination. The problem of algorithmic bias and the risks of insufficient anonymization of data are also analyzed in the present article. The article concludes with recommendations and strategies for protecting personal data when working with AI. In particular, the need to establish strict rules and regulations for the processing of personal data, the use of encryption and anonymization of data, the development of control mechanisms and verification of compliance with security policies, as well as the education and awareness raising of users regarding the protection of personal data.