ItemConference Paper

Research of Prospects and Challenges in Artificial Intelligence Technology Teaching and Learning

Title
Research of Prospects and Challenges in Artificial Intelligence Technology Teaching and Learning
Creator
Lapina, Maria; Mary Anita, E.A.; Bagautdinova, Alina; Gordova, Marina
Description
Recently, knowledge in the field of artificial intelligence in order to modernize various aspects of human activity has played a significant role. The exploration of the opportunities and difficulties associated with the development of artificial intelligence technologies is becoming an important area of research, as it profoundly affects our perception of work, education, medicine and other spheres of existence. New methods of machine learning, deep learning and reinforcement learning are being developed. These technologies are changing our understanding of how machines can learn and adapt to the world around them. The application of artificial intelligence covers many areas, including healthcare, finance, education and industry. In medicine, for example, AI can improve diagnostic accuracy and develop customized treatments. In education, it is possible to create personalized learning plans for each student. While in industry, artificial intelligence technologies are able to optimize production processes and increase business efficiency. However, despite the potential benefits associated with learning artificial intelligence technologies, there are serious challenges that require careful analysis. These challenges include ethical dilemmas, such as issues of algorithm transparency and responsibility for making principled decisions. Data security and privacy are also among the key aspects that require innovative approaches to AI technology training. The main purpose of the research is to deeply analyze the prospects and challenges in the field of artificial intelligence technology training, provide a comprehensive understanding of the current state of this field, identify key areas of development and propose practical strategies for effectively overcoming challenges. Taking into account both positive and negative aspects, it is necessary to have a meaningful look at the future of artificial intelligence technology education, taking into account social, ethical and technical aspects. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Source
Lecture Notes in Networks and Systems;Volume;1616 LNNS;pp.266-276
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
AI ethics; algorithm transparency; Artificial intelligence technologies; challenges; data security; deep learning; education; efficiency; finance; industry; innovation; learning; machine learning; medicine; perspectives; reinforcement learning; socio-cultural aspects
Coverage
Lapina M., North-Caucasus Federal University, Stavropol, 3550017, Russian Federation; Mary Anita E.A., Christ University, Bangalore, India; Bagautdinova A., North-Caucasus Federal University, Stavropol, 3550017, Russian Federation; Gordova M., Financial University Under the Government of the Russian Federation, Moscow, 125993, Russian Federation
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-303204364-1;
Format
online
Language
English
Type
Conference paper

Citation

Lapina, Maria; Mary Anita, E.A.; Bagautdinova, Alina; Gordova, Marina, “Research of Prospects and Challenges in Artificial Intelligence Technology Teaching and Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25346.

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