Tumaris Sagindikova
Author: Tumaris Sagindikova
Third-Year Student
Faculty of Journalism and Uzbek Philology
National University of Uzbekistan named after Mirzo Ulugbek
Introduction
Many people believe that artificial intelligence became popular only with the emergence of ChatGPT. In reality, however, we have been interacting with AI for much longer. From the earliest computing machines to the characters that respond to us in video games, many systems have operated automatically. However, these systems were not considered artificial intelligence in the modern sense. Early computers were designed to solve complex mathematical problems through pre-programmed instructions, such as performing calculations and processing large numbers. Since they worked only according to fixed algorithms, they were more accurately described as “automated systems.”
Today’s neural networks have reached a completely different level. They are no longer limited to fixed commands; instead, they are adaptive. They can communicate with users, adjust to their preferences, and provide responses in different styles depending on the user’s needs. More importantly, they continuously analyze conversations and generate new information in real time, much like the human brain processes information and responds quickly. This is why modern AI is often compared to human intelligence.
The emergence of such advanced technology naturally caused concern among many people. Some feared that artificial intelligence might eventually replace or even dominate humans. These concerns have also been reinforced by numerous science fiction films.
Main Part
Today, artificial intelligence is becoming increasingly common in journalism. We have heard about AI news anchors in China, and some sports websites are already developing AI systems capable of writing and publishing news articles automatically. At first glance, this may seem as if AI is taking over journalism. However, this does not mean that journalism can be entirely carried out by artificial intelligence.
For example, AI still cannot fully understand or express human emotions. It can deliver information efficiently, but it cannot communicate the emotional depth or human perspective that journalists provide. Therefore, artificial intelligence still depends on human involvement, and it is essential for journalists to use it appropriately. AI can be effectively applied in several important areas.
First, it can rapidly analyze large volumes of information. AI can process archives and extensive databases within seconds, identify key points, and summarize the main content. This allows journalists to save significant amounts of time.
Second, AI is highly useful in combating the growing spread of fake news. When journalists receive new information, AI can quickly analyze its source and help determine whether it is reliable or false. Many modern fact-checking platforms already use artificial intelligence for this purpose, making the verification process much faster.
Third, AI can recreate historical events and personalities through advanced technologies such as 3D animation. For example, realistic digital representations of Amir Temur and other historical figures have become popular on social media. Such technologies help journalists visualize historical events and present audiences with approximate reconstructions of scenes that were never recorded.
Conclusion
In conclusion, artificial intelligence should not be viewed as a technology that will replace journalists. Instead, it should be regarded as a powerful tool that assists them in their work. At present, no artificial intelligence system can fully replace the human factor in journalism.
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