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List of publications on a keyword: «AI ethics»

  • AI Assistants as Tutors: Ethical Boundaries for Using Neural Networks to Personalize Programming Education

    Proceeding
    Education, innovation, research as a resource for community development
    Authors:
    Inna G. Iglinskaia, Anastasiia V. Petrakova
    Work direction:
    Использование нестандартных решений для повышения качества, доступности и эффективности образования
    Abstract:
    The article discusses the current problem of integrating artificial intelligence (AI), in particular, large language models (LLM), into the educational process of training specialists in the specialty 02/09/07 "Information Systems and Programming". The purpose of the study is to analyze the potential of AI assistants as personalized tutors to develop programming skills and identify the associated ethical risks and pedagogical limitations. Based on the analysis of modern literature and the author's practical experience, key dilemmas have been identified: the reliability of the generated code and explanations, the risk of intellectual dependence, issues of academic integrity and digital inequality. The article offers a model for the balanced use of AI assistants based on the principles of pedagogical support, the development of critical thinking and the formation of digital hygiene among students. It is concluded that AI is a powerful tool for improving the accessibility and effectivenes
    Keywords:
    pedagogical design, tutoring, ChatGPT, programming, AI ethics, academic integrity, Artificial intelligence in education, learning personalization, large language models (LLM), and professional education

  • Using artificial intelligence to improve business efficiency

    Proceeding
    Innovative approaches to management in economic, technical and legal systems
    Author:
    Inna G. Iglinskaia
    Work direction:
    Информационные технологии в управлении бизнесом
    Abstract:
    The article examines the role of artificial intelligence (AI) in improving the efficiency of business processes. In the context of rapid technological progress, companies are faced with the need to adapt to new realities, and AI is becoming a key tool for achieving competitive advantages. The main areas of AI application are analyzed, including automation of routine tasks, improvement of customer service, forecasting consumer behavior and optimization of resource management. Special attention is paid to examples of successful AI implementation in various industries such as finance, retail and manufacturing. The challenges and risks associated with the integration of AI into business, including issues of ethics and data protection, are also discussed. The article emphasizes the importance of a strategic approach to the introduction of AI technologies, as well as the need to train personnel to work with new tools. In conclusion, conclusions are drawn about the prospects of using AI to in
    Keywords:
    competitive advantages, machine learning, digital transformation, data analysis, personnel training, forecasting, artificial intelligence (AI), data protection, business efficiency, process automation, customer service, resource optimization, business innovation, AI ethics, strategic implementation
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