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All Journal International Journal of Artificial Intelligence for Digital Marketing International Journal of Business, Law and Political Science
Dauletbike Ametbekovna, Eshchanova
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Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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RISK AS THE MAIN CONDITION OF INSURANCE IN INVESTMENT ACTIVITIES Dauletbike Ametbekovna, Eshchanova
International Journal of Artificial Intelligence for Digital Marketing Vol. 2 No. 1 (2025): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v2i1.288

Abstract

Objective: This study aims to analyze the legal concept of "risk" within the framework of civil law theory, with a specific focus on its application to investment insurance. The research explores both the objective and subjective dimensions of risk by reviewing key perspectives from civil law scholars and examining their implications in practical contexts. Methods: A comprehensive review of civil law theories and scholarly literature was conducted to define and evaluate the characteristics and features of risk. The study focuses on identifying the dual nature of risk—objective and subjective—and assessing its relevance in the domain of investment insurance. Comparative analysis of theoretical foundations and practical applications was employed to establish a cohesive understanding. Results: The research identifies key features of risk as outlined by civil law scholars, emphasizing their significance in investment activities. The study reveals how the theoretical foundations of risk provide a structured framework for understanding its implications in the management of investment insurance. The dual nature of risk—comprising both measurable (objective) and perceptive (subjective) elements—was found to be integral to its legal characterization and practical application. Novelty: This study bridges the gap between theoretical legal analysis and practical implementation of risk management in investment insurance. By offering a detailed exploration of the dual nature of risk, the research provides a deeper understanding of its role within civil law and investment activities. This perspective enriches the existing literature and offers valuable insights for legal scholars and practitioners in the field of investment insurance.
INTELLECTUAL PROPERTY AND ARTIFICIAL INTELLIGENCE: REGULATORY CHALLENGES AND SOLUTIONS Dauletbike Ametbekovna, Eshchanova; Ferdavsbek Dilmurod Ugli, Mirzaliyev
International Journal of Business, Law and Political Science Vol. 2 No. 2 (2025): International Journal of Business, Law and Political Science
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijblps.v2i2.265

Abstract

Objective: This study aims to analyze the impact of artificial intelligence (AI) on intellectual property, focusing on the challenges and opportunities it presents in the field of copyright. It explores the implications of AI-generated works, addressing issues of authorship and legal responsibility. Method: A comprehensive analysis was conducted, examining current applications of AI in creative industries, as well as reviewing international and national copyright legislation. Comparative insights were drawn to identify gaps and propose solutions for equitable copyright distribution between AI users and developers. Results: Findings indicate that the lack of a clear legislative framework for AI-generated works leads to significant disputes over authorship and ownership. National and international experiences highlight the urgent need for harmonized regulations to ensure fair and transparent copyright allocation. Novelty: This research contributes to the field by proposing a legislative definition of AI tailored to copyright contexts and offering actionable recommendations for addressing the ethical and legal complexities of AI-created content. These findings serve as a foundation for policymakers to adapt copyright laws in the era of AI.
Co-Authors Ferdavsbek Dilmurod Ugli, Mirzaliyev