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Artificial Intelligence and the Issue of Information Protection: Legal Aspect Kudryavtsev, Vladislav; Leontev, Mikhail; Riabchenko, Aleksandr; Akhyadov, Elman; Panova, Nataliia; Sinyukov, Vasily
Jurnal Cita Hukum Vol 12, No 3 (2024)
Publisher : Fakultas Syariah dan Hukum, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jch.v12i3.42520

Abstract

The development and use of artificial intelligence (AI) brings new challenges related to information protection, which is an important concern in the legal context of today's digital era. This article aims to analyse the legal aspects of information protection in the development and application of AI. This research was conducted using qualitative methods through a literature approach and analysis of legislation, both at the national (Russian) and international levels. The analysis results show that the main objects of information protection in the context of AI include trade secrets, professional secrets, and personal data. Therefore, entities holding trade and professional secrets and processing personal data must handle this issue under the applicable legal framework. This article concludes that existing regulations must evolve to accommodate information protection challenges in the dynamic AI ecosystem.
Artificial Intelligence and the Issue of Information Protection: Legal Aspect Kudryavtsev, Vladislav; Leontev, Mikhail; Riabchenko, Aleksandr; Akhyadov, Elman; Panova, Nataliia; Sinyukov, Vasily
Jurnal Cita Hukum Vol. 12 No. 3 (2024)
Publisher : Fakultas Syariah dan Hukum, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jch.v12i3.42520

Abstract

The development and use of artificial intelligence (AI) brings new challenges related to information protection, which is an important concern in the legal context of today's digital era. This article aims to analyse the legal aspects of information protection in the development and application of AI. This research was conducted using qualitative methods through a literature approach and analysis of legislation, both at the national (Russian) and international levels. The analysis results show that the main objects of information protection in the context of AI include trade secrets, professional secrets, and personal data. Therefore, entities holding trade and professional secrets and processing personal data must handle this issue under the applicable legal framework. This article concludes that existing regulations must evolve to accommodate information protection challenges in the dynamic AI ecosystem.
International Legal Challenges in Regulating Asymmetric Armed Conflicts Kudryavtsev, Vladislav; Kolganov, Sergei; Sitnikova, Oksana; Chikaeva, Karina; Akhyadov, Elman
Jurnal Cita Hukum Vol. 13 No. 3 (2025): Winter Edition (In Press)
Publisher : Fakultas Syariah dan Hukum, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jch.v13i3.49202

Abstract

The purpose of the article was to analyze the international legal aspects of asymmetric armed conflicts, including the right to self-defense and the legal status of civilians. The methodological basis of the study consists of an examination of international legal instruments, such as the UN Charter, the Geneva Conventions and their Additional Protocols. Additional literature review included contemporary conflict studies and international humanitarian law. Results showed that asymmetric conflicts blur the line between combatants and civilians, complicate the application of proportionality, and diminish the effectiveness of classical jus ad bellum and jus in bello norms. The conclusion highlights the need to adopt international law to the involvement of non-state actors and to the growing number of cases in which states invoke preventive self-defense, while ensuring strict compliance with its legal criteria.