Will artificial intelligence be able to replace humans? What professions will disappear in the future, and will mankind face an “aggressive” neural network? Aigerim Abdenbayeva, head of educational programs at the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University (NU), answers these questions and discusses how AI is developing in Kazakhstan. TCA: Most people have heard the term “artificial intelligence” in one way or another, but only a small proportion know about the practical possibilities of AI. In your view, what is artificial intelligence? Artificial intelligence can be characterized as the ability of machines to perform tasks that traditionally require human intelligence. This includes recognizing images, understanding language, making decisions, and solving complex problems. In everyday life, we encounter AI in many different forms, from voice assistants like Siri and Google Assistant to recommendations on streaming platforms like Netflix, which suggests movies based on your preferences. The term “artificial intelligence” was coined in 1956 by American scientist John McCarthy, who is considered one of the field's founders. Although the concept of AI was proposed more than half a century ago, its modern form only began to develop in the 1980s, when so-called expert systems emerged. These systems used rules and knowledge bases to solve specific problems, such as disease diagnosis or financial forecasting. Since then, AI has gone through several stages of development. The 2010s saw a significant breakthrough with the emergence of deep learning and big data technologies. Based on neural networks, deep learning has allowed computers to process and analyze vast amounts of information, dramatically improving their ability to recognize patterns and understand speech. This progress has made AI more accessible to a broader audience and has become an integral part of our daily lives. Several trends in the field of artificial intelligence can be distinguished: "Narrow AI" is a specialized system for specific tasks. For example, algorithms are used to recognize faces or diagnose diseases. They outperform humans in a narrow domain, but cannot perform functions outside their specialization. “General AI” involves creating machines that can perform any intellectual task at a level comparable to humans. General AI remains a theoretical concept and has not been achieved in reality. "Generative AI" is a field that deals with creating new data based on existing data. Examples include generating text, images, and music. Algorithms such as GPT (Generative Pre-trained Transformer) can create text that looks like a human wrote it, and they are already being used extensively in various applications. Generative AI, in particular, has become popular due to its ability to make human life more manageable. For example, platforms like ChatGPT can help with writing articles, creating content for social media, and automating routine tasks, saving users a lot of time and effort. Other AI applications have already become part of our daily lives. For example, in medicine, AI is used to analyze medical images, which helps doctors in diagnosis and treatment selection. In finance, AI helps analyze market data and predict trends, allowing investors...
