The article discusses the use of artificial intelligence in education, as well as solving problems of personalization of training and career guidance. The need to introduce artificial intelligence into the learning process, as well as technologies that are already in use, has been identified and analyzed. The possibilities of using artificial intelligence in personalizing learning are presented. Having analyzed the possibilities of using artificial intelligence, we came to the conclusion that there is a need to use and improve the technologies of neural networks and artificial intelligence in education.

Artificial Intelligence and Robotics have a common root and a (relatively) long history of interaction and scientific discussion.
The birth of Artificial Intelligence and Robotics takes place in the same period (’50), and initially there was no clear distinction between the two disciplines. The reason is that the notion of “intelligent machine” naturally leads to robots and Robotics. One might argue that not every machine is a robot, and certainly Artificial Intelligence is concerned also with virtual agents (i.e. agents that are not embodied in a physical machine). On the other hand, many of the technical problems and solutions that are needed in order to design robots are not dealt with by Artificial Intelligence research. A clear separation between the fields can be seen in the ’70, when Robotics becomes more focused on industrial automation, while Artificial Intelligence uses robots to demonstrate that machines can act also in everyday environments

This article defines the term artificial intelligence. specific conveniences and advantages of artificial intelligence, principles widely used in world experience are shown. In developed countries, the use of opportunities of artificial intelligence and modern information technologies in the social sphere, in particular, in health care, education, employment, social protection and other areas, as well as the results of the development of artificial intelligence for society are shown.

Automation of processing and output processes using artificial intelligence, data collection, analysis, preparation and testing of data for artificial intelligence models. Using automation tools. Quality Assurance and Artificial Intelligence System.

The article discusses the possibilities of using artificial intelligence technologies in training future historians. As you know, the most popular artificial intelligence chatbot currently is the ChatGPT application. Unfortunately, access to this service for users from Russia and Belarus is currently limited. However, there are many third-party applications free from such restrictions that use the ChatGPT API and solve similar problems. The article analyzes three of the most interesting and useful of these services: Phind.com - a search engine for researchers, Talkai.info - a service that provides access to ChatGPT in Russian, Explainlikeimfive.io - an application that explains complex concepts and concepts. Examples are given of the use of the above services in planning, organizing and conducting the educational process at the faculty that trains historians. It is shown that the rapid development of artificial intelligence technologies will lead to a radical change in approaches to organizing the educational process, its structure and content. According to some experts, by the end of 2026, ninety percent of the content on the Internet will be generated by artificial intelligence. This cannot but affect educational content posted on the Internet. In conclusion, it is noted that, unfortunately, solutions obtained using deep neural networks are often impossible to verify. This naturally reduces their value. That is why it is still difficult to judge how the widespread introduction of artificial intelligence technologies will affect the quality of specialist training.  

Hysteroscopy is one of the key methods for diagnosing intrauterine pathology; however, interpretation of hysteroscopic findings largely depends on the clinician’s experience and image quality, which leads to diagnostic variability and an increased risk of errors. In recent years, artificial intelligence has emerged as a promising tool to enhance objectivity and reproducibility in visual diagnostics within endoscopy. This article analyzes the current state of research on the application of artificial intelligence in hysteroscopy, with an emphasis on the transition from subjective visual assessment to objective diagnosis. The main directions of artificial intelligence development in endoscopy, achieved results, and existing limitations are reviewed, along with the experience of applying similar technologies in related medical fields. Special attention is given to the current status of research in the Commonwealth of Independent States and the Republic of Uzbekistan, as well as to the opportunities arising from ongoing healthcare reforms and digitalization initiatives. The findings indicate that the integration of artificial intelligence algorithms into hysteroscopic practice has significant potential to improve diagnostic accuracy, reduce interobserver variability, and standardize the interpretation of hysteroscopic video signals, thereby justifying the need for further research in this field.

This article analyzes the relationship between the recognition of artificial intelligence as a legal person and its criminal liability from a theoretical and practical perspective. The author evaluates the degree of autonomy of artificial intelligence systems, the ability to make informed decisions, and the criteria for freedom of will from the point of view of legal subjectivity. The article comparatively studies the national experiences of Japan, the USA, the European Union, and China, and analyzes the ways of determining the legal status of artificial intelligence based on different legal approaches. According to the results of the study, the legal personality and criminal liability of artificial intelligence have a complementary, systematic and dialectical relationship, and the need to develop international legal standards in this area is substantiated. For Uzbekistan, proposals are put forward on the formation of national legal mechanisms based on the experience of Europe and Japan.

In recent years, artificial intelligence has been regarded as one of the key tools for improving the accuracy and reproducibility of medical diagnostics. In gynecology, the greatest progress has been achieved in ultrasound diagnostics, digital pathology, and reproductive medicine, whereas the application of artificial intelligence in hysteroscopic diagnosis of endometrial pathology remains limited. This article presents a review of current scientific data from the last 5–10 years on the use of artificial intelligence algorithms in the diagnosis of endometrial pathology, including hyperplastic processes, polyps, and endometrial cancer. The historical stages of the introduction of computational technologies into medicine and gynecology, the main areas of application of artificial intelligence, the achieved results, and existing limitations are considered

In recent years, the rapid development of innovative technologies, in particular artificial intelligence (AI) systems, is fundamentally changing the nature of the labor market and human labor. The application of artificial intelligence technologies in various fields, the replacement of traditional work processes by automated and digital systems, has a significant positive impact on labor productivity and efficiency. This article scientifically analyzes the impact of innovative technologies and artificial intelligence on modern labor activity and highlights their socioeconomic consequences.

This scientific article analyzes the role of artificial intelligence technologies as a weapon for committing a crime in the crime of murder, its legal and criminological aspects. It is scientifically proven that the possibilities of autonomous decision-making, algorithmic control and remote influence of artificial intelligence lead to the complexity of the methods of committing a crime. Based on the norms of Article 97 (intentional murder) and Article 98 (intentional murder in a state of strong mental excitement) of the Criminal Code of the Republic of Uzbekistan, the subjective and objective sides, the concept of a weapon of crime and issues of liability are discussed in crimes using artificial intelligence.

The following research paper represents an investigation of the modern advances in the field of artificial intelligence. From the beginning of computers' invention, people starts tying to create perfect machines that could replace human beings in every aspect of life. Invention of complex robots which could avoid human interference, promote scientists light up with idea of machines which can make decisions, plan schedules an even set goals for people. Many governments such as United States, South Korea, China, Japan and Western countries have funded research projects with billions of dollars in the field of artificial intelligence. Scientists all over the world were willing to create a program, which gives the basic information of the artificial intelligence, and the advancements made in the field.

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) represents a transformative shift in technological innovation, enabling advanced capabilities for interconnected systems across industries. However, this integration also introducer critical challenges that demand immediate attention. IoT ecosystems face significant cybersecurity vulnerabilities due to their expansive attack surface and inconsistent security protocols. Scalability issues arise as billions of devices generate massive amounts of data, placing unprecedented strain on existing network infrastructures. Additionally, interoperability gaps stemming from fragmented ecosystems and proprietary technologies hinder seamless communication between devices, limiting the potential of IoT. Moreover, the environmental impact of large-scale IoT deployment raises concerns regarding energy consumption, electronic waste, and sustainability. AI-driven solutions offer promising strategies to address these challenges. By leveraging predictive analytics, machine learning, and edge computing, AI enhances cybersecurity, optimizes scalability, and facilitates interoperability in IoT systems. Furthermore, AI promotes sustainability through intelligent energy management and lifecycle optimization of IoT devices

The relentless evolution of cyber threats, from ransomware to advanced persistent threats (APTs), has exposed the limitations of traditional cybersecurity approaches. Artificial Intelligence (AI) has emerged as a cornerstone technology, offering sophisticated tools for threat detection, predictive analytics, automated response, and threat intelligence. By leveraging machine learning, deep learning, and natural language processing, AI enables adaptive and scalable defenses against increasingly complex attacks. This article provides an in-depth exploration of AI’s transformative role in cybersecurity, detailing its applications, addressing challenges such as adversarial attacks, data biases, and ethical concerns, and envisioning future advancements. Through a comprehensive analysis, it underscores AI’s potential to fortify digital ecosystems while highlighting the need for robust strategies to mitigate its limitations.

This article examines the application of artificial intelligence among students and how it is transforming the learning process. The study analyzes the role of artificial intelligence in providing personalized education, developing fast and analytical thinking, enabling distance learning, and increasing the overall efficiency of the educational process.

Nowadays, artificial intelligence (AI) technologies are widely used in various fields, including media and entertainment industry. The importance of artificial intelligence in the creation of video and audio files has especially increased. With AI, media files can be created faster and more efficiently compared to traditional methods. The strong support of AI technologies in video and audio creation is mainly through automatic content creation, audio and video editing, translation and many other applications. This paper discusses the basic principles of AI-assisted video and audio creation technologies, their working principles and capabilities.

The use of Artificial Intelligence in Uzbekistan's legal system will make it more efficient and transparent. China's experience shows that digitalizing courts, prosecutors, and the anti-corruption system can speed up trials, provide new jobs in the courts, and reduce corruption. Artificial Intelligence can automate legal processes, help courts make decisions, and combat offenses.

Artificial Intelligence (AI) is rapidly transforming labor markets, redefining professional roles, and reshaping the skills required for future careers. This article examines how AI influences employment structures, job creation and displacement, workforce skill transformation, and career adaptability across industries. Using data from international organizations, peer-reviewed studies, and labor market reports, the study analyzes current AI-driven trends and their implications for future employment. The findings indicate that while AI may automate routine tasks and eliminate certain job categories, it simultaneously creates new professions and increases demand for advanced cognitive, digital, and socio-emotional skills. The article concludes that proactive education reform, continuous reskilling, and policy adaptation are essential to ensure inclusive and sustainable career development in the age of artificial intelligence.

The article explores how artificial intelligence technologies can improve the educational process by making it more effective and tailored to individual needs. Adaptive learning systems based on artificial intelligence personalize the learning process, enhance student motivation, and increase educational efficiency. Research results show that these systems adapt educational programs according to individual abilities and needs, and allow for real-time monitoring of results. Additionally, these systems identify students' strengths and weaknesses, providing individual support. As a result, learning efficiency increases, and the educational process becomes more engaging. The article also examines the role of artificial intelligence in the technological integration and implementation of innovations in the educational system

This article explores the role of artificial intelligence (AI) in teaching public speaking skills in contemporary educational contexts. As public speaking remains a core component of communication competence, recent advances in AI technologies have introduced new pedagogical opportunities for enhancing speech instruction. The study examines how AI-based tools support skill development through personalized feedback, performance analysis, and learner-centered practice. It also discusses the pedagogical advantages and ethical considerations associated with AI-assisted public speaking instruction. The article argues that, when used responsibly, artificial intelligence can significantly improve the effectiveness, accessibility, and inclusiveness of public speaking education.

This article analyzes the application of artificial intelligence (AI) technologies in the financial market, their impact on its development process, and future prospects. The effectiveness of AI technologies in risk assessment, automation of trading algorithms, prediction of customer needs, and fraud prevention has been examined on a scientific basis. The study presents key indicators of the international financial market as well as data related to the use of AI technologies in finance in tabular form. The findings substantiate that artificial intelligence serves as an important tool for enhancing efficiency, strengthening transparency, and accelerating innovative development in the financial market.

This article discusses the theoretical and practical foundations of computational linguistics, its advanced methods, and future development prospects, with a focus on innovative solutions in the field of artificial intelligence. The first part defines linguistics and computational linguistics and explains their theoretical frameworks, including mathematical modeling, formal grammars, and axiomatic principles. The article further analyzes the application of modern methods such as machine translation, neural networks, and deep learning technologies in computational linguistics. It also explores the integration of artificial intelligence, cognitive modeling, and the practical applications of these technologies in education and business.

This article describes the history of artificial intelligence systems, their role in human activity and the importance of the implementation of artificial intelligence systems.

The rapid development of artificial intelligence (AI) has significantly transformed educational practices, particularly in the field of English Language Teaching (ELT). AI-powered tools such as intelligent tutoring systems, automated feedback platforms, speech recognition software, and generative language models are increasingly integrated into language learning environments. These technologies offer personalized learning experiences, immediate feedback, and expanded opportunities for learner autonomy. However, the growing use of AI in ELT also raises pedagogical, ethical, and methodological concerns, including overreliance on technology, reduced human interaction, data privacy issues, and challenges related to academic integrity. This article provides a comprehensive analysis of the role of artificial intelligence in English language teaching. It examines the theoretical foundations of AI in education, explores its application across different language skills, and critically evaluates both its benefits and limitations. The article further discusses the evolving role of teachers in AI-supported classrooms and outlines pedagogical implications for effective and responsible integration of AI in ELT. The study argues that while AI has strong potential to enhance language learning, its success depends on thoughtful pedagogical design and informed teacher mediation.

The article presents a philosophical analysis of epistemological risks emerging in the process of digital transformation of higher education. Special attention is paid to the problem of knowledge verification in the context of active implementation of artificial intelligence technologies in the educational process. Based on dialectical and systemic approaches, the mechanisms of transformation of knowledge production and verification processes in the digital educational environment are investigated. Key contradictions between traditional mechanisms of knowledge verification and new forms of its acquisition and transmission using artificial intelligence are identified. Methodological approaches to resolving the identified contradictions and minimizing the epistemological risks of education digitalization are proposed.

This article discusses the concept of "artificial intelligence" and its main features. Characteristics and examples of the use of artificial intelligence in the educational process are devoted to the place of modern foreign and domestic education, and new technologies of our time are considered. These technologies already play a major role for teachers and students. The problems and prospects of using artificial intelligence in the field of modern education and its role in the future were also touched upon.