ISSUES RELATED TO ARTIFICIAL INTELLIGENCE

Аннотация

Artificial intelligence is one of the most relevant areas of technological development today, and its impact on human life and social structure raises a wide range of issues. This article examines a number of important issues related to artificial intelligence. These include ethical issues, data privacy, job loss, system reliability, training and education, interactivity, and human-machine relations. This article aims to analyze the impact of artificial intelligence on society and its future development opportunities, and also discusses problems and solutions to these issues. Keywords: Artificial intelligence, algorithms, data analysis, neural networks, autonomous systems, ethics of artificial intelligence, artificial intelligence and business, digital transformation, robotics, relearning Introduction. Artificial intelligence is a technology that enables computers and software to solve problems and make decisions by emulating the human brain’s reasoning abilities. The main types of artificial intelligence: 1.Classical or rule-based AI: Systems based on explicit rules, such as expert systems. 2.Learning-based AI: Machine learning and deep learning, capable of learning independently from data. 3.Natural language processing: Facilitates communication between computers and humans. 4.Computer vision: The ability to analyze and understand images and videos. Applications of artificial intelligence: Medicine: Assisting in disease diagnosis and treatment. Transport: Autonomous vehicles and traffic management. Finance: Optimizing financial analysis and investment decisions. Gaming: Using AI to make games more engaging and challenging. Problems and risks: Information security: Threats associated with the use of AI. Jobs: Loss of positions due to automation. 171 SCIENCE AND INNOVATION IN THE EDUCATION SYSTEM International scientific-online conference Ethical issues: Fairness and transparency of AI-driven decisions. The development of artificial intelligence presents humanity with many opportunities and challenges. Its future evolution and impact are subjects of keen interest[1]. The main section considers AI-related issues along the following lines: 1. Information security: How might AI systems harm or manipulate data? 2. Ethical concerns: How can fairness, bias mitigation, and transparency be ensured in AI decision-making? 3. Job displacement: In what ways can automation alter or eliminate jobs? 4. Data privacy: How do AI systems collect and use user data? 5. Learning and development: What errors can arise during an AI system’s self-learning processes? 6. System reliability: How dependable are AI decisions, and how accurate are they given the analyzed data? 7. Training and education: How can AI be taught effectively and ethically? 8. Interactivity and human–machine relations: How can communication between AI and humans be improved? These topics are important and urgent in light of AI’s development and require deeper study. Ethical issues related to AI include the following aspects: 1. Bias: AI systems make decisions based on data. If the training data are biased, the system may also make biased decisions. 2. Accountability: Who bears responsibility for decisions made by AI? Who is liable for harm resulting from a system error? 3. Privacy: How are users’ data collected and used? What standards and regulations should protect personal information? 4. Transparency: To what extent should AI systems disclose how they work? Users have the right to know how decisions affecting them were made. 5. Social impact: How might AI exacerbate social inequalities? For example, what social consequences could job automation bring? 6. Harm and fatalities: What ethical norms should apply when autonomous systems (such as self-driving cars) injure or kill living beings? 7. Manipulation: How can AI be used to manipulate information, and how might this alter social behavior? These issues help us understand AI’s social, economic, and ethical impacts and remain crucial as the technology evolves. 172 SCIENCE AND INNOVATION IN THE EDUCATION SYSTEM International scientific-online conference Job displacement due to AI and automation is a key concern, which can be broken down into several main aspects: 1. Process automation: In many sectors—such as manufacturing, logistics, and services—robots and AI systems have begun replacing humans. This leads to a reduction in available jobs. 2. Clerical and routine tasks: Data processing, data entry, and other repetitive functions can be automated. Autonomous transport vehicles may deprive drivers of their work. 3. Rising unemployment: Automation can eliminate jobs, deepen social inequality, and create social problems. People may be forced to seek new employment and update their skills. 4. New opportunities: AI and automation can create new fields and professions. For example, jobs in AI training and technical maintenance are expected to emerge. 5. Importance of education: Considering new technologies, it is ne