THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF AUTOMATED SYSTEMS, ROBOTICS AND INTELLIGENT TECHNOLOGIES

THE VI INTERNATIONAL SCIENTIFIC CONFERENCE “SCIENTIFIC FOUNDATIONS FOR THE USE OF INFORMATION TECHNOLOGIES OF A NEW LEVEL AND MODERN PROBLEMS OF AUTOMATION”, NOVEMBER 20, 2025 118 THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF AUTOMATED SYSTEMS, ROBOTICS AND INTELLIGENT TECHNOLOGIES Ollaberganova R.K, Muxtorov A.T. Joint Belarussian-Uzbek Intersectoral institute of applied technical qualifications https://doi.org/10.5281/zenodo.17725563 Annotation. Artificial Intelligence (AI) has emerged as the foundation of the Fourth Industrial Revolution. It integrates data analysis, autonomous reasoning, and adaptive control into modern automation, robotics, and decision-making systems. This paper provides a theoretical and practical overview of AI algorithms and technologies and explores their role in industrial and social transformation. Attention is given to international practices and the experience of Uzbekistan, where AI integration has become a national priority. Using analytical and comparative methods, the paper examines AI fundamentals, applications across multiple sectors, and ethical implications, offering insights for sustainable technological progress.Keywords. Artificial Intelligence, automation, robotics, machine learning, deep learning, Uzbekistan, data analysis. Introduction. Artificial Intelligence (AI) is transforming nearly every field of human activity. It enables computers and machines to perform cognitive tasks once reserved for humans — learning, reasoning, planning, and perception. Unlike traditional automation, AI systems adapt dynamically to new data and changing environments.In Uzbekistan, the digital economy has become a key vector of modernization. Since 2020, government programs have encouraged AI research in universities, startups, and technology parks. AI-driven automation is being introduced in industry, transport, healthcare, and education. This paper investigates AI’s role in the development of automated systems and robotics, its fundamental algorithms, and its practical impact on society and the economy.AI is an interdisciplinary science combining computer science, mathematics, linguistics, and psychology. It focuses on building systems capable of reasoning, perception, and self-learning. Core Algorithms Algorithm Type Main Principle Application Example Supervised Learning Learns from labeled data Credit scoring, image classification Unsupervised Learning Discovers hidden patterns Customer segmentation, data clustering Reinforcement Learning Trial-and-error learning with feedback Robot navigation, game AI Deep Learning Uses multi-layer neural networks Speech and face recognition Expert Systems Encodes expert rules Industrial diagnostics, decision support Probability theory, optimization, and symbolic logic form the mathematical backbone of AI. Cognitively, AI draws inspiration from the human brain’s neural architecture, enabling deep learning networks to process complex images, speech, and sensor data. AI-enabled robots perform THE VI INTERNATIONAL SCIENTIFIC CONFERENCE “SCIENTIFIC FOUNDATIONS FOR THE USE OF INFORMATION TECHNOLOGIES OF A NEW LEVEL AND MODERN PROBLEMS OF AUTOMATION”, NOVEMBER 20, 2025 119 assembly, welding, packaging, and logistics tasks with extreme precision. Predictive maintenance systems analyze sensor streams to prevent equipment failure. In Uzbekistan, enterprises such as Navoi Mining and Metallurgical Combinat and Uzbekneftegaz have implemented robotic platforms to monitor pipelines and automate material transport.Educational institutions in Tashkent, Andijan, and Samarkand are developing robotic labs for autonomous drones and service robots. These initiatives combine engineering training with applied AI research, linking academia and industry. AI strengthens digital infrastructure through natural-language processing, network management, and cyber-security. Uzbek telecom companies employ AI-based predictive models for network optimization and fraud prevention. Government e-services apply machine-learning algorithms to documentverification and citizen feedback analysis. Machine learning supports doctors in diagnostics, image recognition, and patient monitoring. In Tashkent, AI-assisted radiology identifies lung and heart diseases from X-ray images. Predictive analytics helps hospitals allocate resources efficiently, reducing waiting times. Mobile apps use AI chatbots for preliminary consultations in rural regions.AI supports smart infrastructure by analyzing material durability, energy efficiency, and safety data. In Uzbekistan, intelligent systems monitor structural vibration in bridges and tall buildings, predicting risks of deformation. AI-aided design software improves cost management and ecological sustainability.In the financial sector, AI enhances risk assessment, fraud detection, and client service. Uzbek banks employ AI-based scoring systems and virtual assistants that interact with customers in Uzbek, Russian, and English. Data-driven analytics also help financial regulators monitor transaction transparency. AI personalizes learning through adaptive platforms that adjust content to students’ abilities. Uzbek universities use plagiarism detectors and automated grading systems. In public administration, AI analyzes large datasets to identify trends in employment and urban mobility.AI is transforming agriculture through precision farming and environmental analytics. Machine vision detects crop diseases, and sensor networks optimize irrigation based on soil moisture and weather data. In Uzbekistan, AIenabled satellite imagery supports the Ministry of Agriculture in monitoring water resources in the Fergana Valley. Environmental models predict dust storms and assess air quality in industrial zones. Sector Global Example Uzbekistan Example Manufacturing Siemens smart factory (Germany) Navoi robotics line Healthcare IBM Watson Health (USA) Tashkent radiology pilot Finance HSBC fraud AI (UK) National Bank chatbots Agriculture John Deere precision farming (USA) AI satellite irrigation system THE VI INTERNATIONAL SCIENTIFIC CONFERENCE “SCIENTIFIC FOUNDATIONS FOR THE USE OF INFORMATION TECHNOLOGIES OF A NEW LEVEL AND MODERN PROBLEMS OF AUTOMATION”, NOVEMBER 20, 2025 120 The integration of AI into national economies demonstrates a strong correlation between digital infrastructure and productivity. Countries with developed data ecosystems show faster AI adoption rates. Uzbekistan has made progress through investment in broadband networks, training programs, and open-data initiatives. However, challenges remain: limited high-performance computing resources and fragmented data access slow research and development. Regional collaboration with Korea, Japan, and the EU is helping address these gaps. AI must also be integrated with IoT and 5G for real-time decision support in transport and energy management. AI changes the structure of labor and skills demand. Routine tasks become automated, but new jobs emerge in data science, robotics maintenance, and ethical governance. Uzbekistan’s education system is updating curricula to prepare specialists in machine learning and automation engineering. AI also affects income distribution and regional development. Smart agriculture and logistics reduce rural inequality by improving productivity and connectivity. Social benefits include enhanced public safety through intelligent transport systems and disaster forecasting. AI’s expansion raises concerns about data privacy, algorithmic bias, and accountability. Transparent regulation and open-source standards are necessary to avoid discrimination. Uzbekistan’s draft laws on personal data and cyber-security address these issues. Ethical AI must ensure that automation serves human values rather than replacing them. Public awareness campaigns and interdisciplinary education are needed to promote responsible AI use. International cooperation with UNESCO and ITU supports Uzbekistan’s efforts to create a balanced regulatory ecosystem. The future of AI depends on its integration with quantum computing and edge technologies. Hybrid human-machine collaboration (“cobotics”) will redefine productivity. AI will also play a key role in energy efficiency and environmental sustainability. For Uzbekistan, focusing on AI education and open data policies will accelerate local innovation and global competitiveness. Conclusion. Artificial Intelligence has become a catalyst for technological progress and social change. Its role in automated systems and robotics extends beyond industrial efficiency to cultural and ethical dimensions. Uzbekistan’s experience illustrates how a developing nation can adapt global innovations to local needs. The success of AI depends on balancing innovation with responsibility, efficiency with ethics, and automation with human development. REFERENCES 1. Russell, S., & Norvig, P. (2022). Artificial Intelligence: A Modern Approach. Pearson. https://www.pearson.com/en-us/subject-catalog/p/artificial-intelligence-a-modernapproach/P200000003500/9780137505135 2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. https://www.deeplearningbook.org/ 3. Marr, B. (2021). Artificial Intelligence in Practice. Wiley. https://www.wiley.com/enus/Artificial%2BIntelligence%2Bin%2BPractice%3A%2BHow%2B50%2BSuccessful%2B Companies%2BUsed%2BAI%2Band%2BMachine%2BLearning%2Bto%2BSolve%2BProb lems-p-00021035 4. 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