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РецензированоEN2026

THE ROLE AND DISADVANTAGES OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL INSTITUTIONS

Qobiljonova Nodirabegim Obidjon kizi (EDUCATIONAL INSTITUTIONS) · Andijan City Polytechnic No. (EDUCATIONAL INSTITUTIONS)

Современное образование и развитие · 2026

Аннотация

This article aims to present how artificial intelligence can be used in the development of education, highlighting the benefits and risks associated with its use, as well as the shortcomings in the use of artificial intelligence in educational processes in Uzbekistan. This article discusses the concept of artificial intelligence and its various types, advantages, and disadvantages of artificial intelligence used in education. Artificial intelligence in educational processes in Uzbekistan. Keywords: artificial intelligence, education, training, thinking, technology, flaw, machine, chatGPT. 1. The concept of artificial intelligence and its different types Artificial intelligence (AI) is a computing technology or set of technologies such as artificial neural networks, algorithms, and learning systems that aim to mimic human mental abilities, such as: reasoning, environmental perception, and decision-making - creating opportunities, the technology is designed with the goal of machines being able to solve a range of problems that encompass everything from the great complexity of government and industrial management to the everyday tasks of modern men and women. To do this, Al uses sophisticated learning technology, which allows it to learn from large data sets and act on its own. The overall goal of AI is to create machines that can perform at the same level of cognitive capacity as humans, or even surpass it [1]. In the words of computer scientist John McCarthy, who coined the term, artificial intelligence is "the science and engineering of producing intelligent systems" [2]. This is the technology used to make machines behave like humans when performing manual tasks, making decisions, understanding data, and even creating content (the latest innovation). Machines are fed data and programmed to learn from it, recognizing Выпуск журнала №-26 Часть–3_ Май –2025 364 MODERN EDUCATION AND DEVELOPMENT information and patterns in layers. Artificial intelligence has given rise to several types. Among them, the following can be noted [2]: [1]Generative AI: Generates new data and patterns (such as images, text, and music) similar to the training dataset. Examples: ChatGPT and DALL-E. ChatGPT is a chat bot and virtual assistant developed by OpenAl and released on November 30, 2022. It uses large language models, format, style, level of detail, and desired language to allow users to refine and guide the conversation, while DALL•E, DALLE 2, and DALLE 3 are text-to-image models developed by OpenAl using deep learning methodologies to "create digital images from natural language descriptions known as.". Discriminative AI: classifies data into predefined categories based on specific characteristics. It is capable of detecting objects, recognizing patterns, collecting, analyzing, and presenting data. Examples: facial recognition, adaptive learning platform, and school data platform. Reactive AI: deals only with current data and does not retain memory of previous data. He makes decisions based on predetermined rules and is unable to learn or adapt to new situations. Knowledge-based AI: Uses a database of human knowledge to make decisions and solve problems using logical rules. Example: medical diagnostic system. Machine Learning Al: can learn from data and continuously improve. Your learning can be supervised, unsupervised, or reinforced. Example: spam email identification system. Deep learning AI: a subfield of machine learning that uses deep artificial neural networks to learn complex data representations. Examples: image and speech recognition, machine translation, and text processing. Natural Language Processing (NLP) AI: computers and human language focused on interaction. Examples: chatbots, virtual assistants, machine translation, and sentiment analysis. Autonomous AI: Human intervention capable of autonomous operation and decision-making. Examples: autonomous cars and robots. Выпуск журнала №-26 Часть–3_ Май –2025 365 MODERN EDUCATION AND DEVELOPMENT [2]Artificial intelligence (AI), especially generative AI, is rapidly gaining popularity and transforming several areas of society, including education. What are the benefits and risks of Artificial Intelligence in education? 2 Artificial intelligence can help teachers prepare questions, plan lessons, and assess student performance, while for students, AI makes research and knowledge acquisition easier. This does not mean replacing the role of the teacher. On the contrary: developing the ability to properly manage this technology will be another task for the teacher in the context of digital culture. Today, the role of the teacher is not simply that of a transmitter of information, but rather a facilitator and advocate in the learning process. Similarly, the role of school in preparing students is much more complex than imparting technical knowledge. It is necessary to develop logical thinking, empathy, ethics and a critical sense, artificial intelligence can lead to improve

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artificial intelligence, education, training, thinking, technology, flaw, machine, chatGPT.
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