Қазақ ұлттық қыздар педагогикалық университеті / Казахский национальный женский педагогический университет

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/1

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2024 - 20262

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Тема: search.filters.subject.AI regulation

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    Цифрлық дипломатия навигациясы: БҰҰ және ЕО деңгейінде жасанды интеллектті реттеудегі көпжақты ынтымақтастық
    (Al-Farabi Kazakh National University, 2024-03-20)
    Medeu Kurmangali
    ;
    Б.О. Куламбаев
    ;
    Н.Ж. Айтенов
    This paper delves into the critical role of multilateral cooperation in regulating artificial intelligence (AI) at both the United Nations and European Union levels, highlighting the realm of digital diplomacy. Amidst the ever-evolving landscape of global governance, it focuses on strategies within UN and EU frameworks to oversee AI development. The research aims to shed light on the challenges and opportunities inherent in regulating AI and emphasizes the importance of collective action in formulating effective regulatory measures. By analyzing the intersection of AI, international relations, and governance, the study seeks to contribute to the ongoing discourse on shaping ethical and strategic policies in the digital age. Methodologically, the research employs a comprehensive review of existing literature, policy documents, and multilateral initiatives related to AI regulation. The findings highlight the complexities of regulating AI in a rapidly evolving technological landscape and underscore the need for multilateral cooperation to address emerging challenges effectively. In terms of value, this research contributes to advancing the understanding of AI governance and digital diplomacy, providing insights into the evolving dynamics of multilateral cooperation in regulating emerging technologies. Practically, the findings offer actionable insights for policymakers and stakeholders involved in AI regulation, highlighting the importance of coordinated efforts to address regulatory gaps and promote responsible AI development. Key words: artificial intelligence, multilateral cooperation, digital diplomacy, аrtificial intelligence governance, United Nations, European Union.
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    PUBLIC PERCEPTION OF LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE
    (2026-01-01)
    B.N. Tokhtakhunov
    ;
    A.B. Montaev
    ;
    Zh.A. Altaev
    ;
    Sh. Eraliev
    ;
    M.A. Akmadi
    The growing integration of artificial intelligence (AI) into professional practice, public administration, and everyday decision-making raises important questions about its legal regulation and social implications. This study examines the social dimensions of AI regulation in Kazakhstan, focusing on how support for government oversight relates to privacy concerns, perceptions of citizens’ rights, legal awareness, trust in AI, and practical experience with these technologies. Its significance lies in examining regulation through public attitudes, extending discussion beyond legal and institutional frameworks to an understudied national context. The study draws on a sociological survey conducted in Kazakh and Russian among residents of Kazakhstan’s megacities. Descriptive statistics, correlation analysis, and chi-square tests were used to examine relationships between regulatory preferences, attitudes toward AI, practical experience, and selected sociodemographic characteristics. The findings show that support for government regulation is associated with concerns about privacy and the protection of citizens’ rights. Respondents who perceived greater risks to individual rights were more likely to favor government oversight, whereas those with greater practical experience of AI preferred less government intervention. Trust in AI did not preclude support for regulation: respondents expressing greater trust also recognized the need for legal oversight. Thus, trust in technology and support for its regulation can coexist. The study concludes that public perceptions of AI regulation reflect an interplay of perceived risks, trust, legal awareness, and practical experience rather than a simple division between technological acceptance and rejection. It provides empirical evidence from Kazakhstan for sociological debates on AI governance and demonstrates the relevance of public attitudes to regulatory discussions. The findings also highlight the need for further research into how citizens interpret AI, assess its implications for their rights, and define the appropriate scope of government oversight.