Dimensions of Legal And Moral Use of Artificial Intelligence In Education

Tеtiana Kronivets, Olena Yakovenko, Ye Tymoshenko, Mykhailo Ilnytskyi
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Abstract

The purpose of the research is to critically analyze the legal aspects of the use of artificial intelligence (AI) in the field of education, as well as to study the role of chatbots and the Chat GPT model, plagiarism issues, educational modeling and the impact of AI on the labor market. To achieve this goal, various research methods are used, including the analysis of current legal norms and international legislation that relate to the use of AI in education. The study also includes an analysis of intellectual property issues, data privacy, ethical standards and liability. The results of the study highlight the problem of plagiarism in chat rooms and emphasize the importance of careful use of information to ensure academic integrity. Despite the possible misuse of AI by students, such as chatbots and GPT models, for plagiarism, these technologies can also facilitate plagiarism detection. The research also examines the use of machine learning and data analytics to create personalized learning experiences, improve learning effectiveness, and retain knowledge. The overall conclusion is that the integration of artificial intelligence in education has the potential to improve the quality and accessibility of education, but this requires a sound legal framework. The article also evaluates the effectiveness of various AI tools, including chatbots that provide information on demand and Chat GPT, useful for processing textual materials. The paper also examines the role of learning simulation in personalizing education, using AI to analyze performance data, and tailoring individual learning pathways.
人工智能在教育领域应用的法律和道德维度
本研究的目的是批判性地分析教育领域使用人工智能(AI)的法律问题,以及研究聊天机器人和聊天 GPT 模型的作用、抄袭问题、教育建模和人工智能对劳动力市场的影响。为实现这一目标,我们采用了多种研究方法,包括分析与教育领域使用人工智能相关的现行法律规范和国际立法。研究还包括对知识产权问题、数据隐私、道德标准和责任的分析。研究结果强调了聊天室中的抄袭问题,并强调了谨慎使用信息以确保学术诚信的重要性。尽管聊天机器人和 GPT 模型等人工智能可能被学生滥用于抄袭,但这些技术也能促进抄袭检测。研究还探讨了如何利用机器学习和数据分析来创建个性化学习体验、提高学习效率和保留知识。总体结论是,将人工智能融入教育有可能提高教育质量和可获得性,但这需要一个健全的法律框架。文章还评估了各种人工智能工具的有效性,包括按需提供信息的聊天机器人和有助于处理文本材料的聊天 GPT。文章还探讨了学习模拟在个性化教育、利用人工智能分析成绩数据和定制个人学习路径方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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