The rapid development of artificial intelligence in recent years has brought a wave of innovation to the press industry. Automatic editing tools - built on the foundation of natural language processing and machine learning technology - are increasingly being integrated deep into newsrooms, helping to create content at an unmatched speed. From financial and sports newsletters to weather forecasts, AI can synthesize, analyze and present a wide range of information in just a few seconds.
This not only helps save costs but also allows press organizations to expand the scale of reporting without needing to increase the corresponding number of personnel. However, along with those benefits are a series of worrying questions. Is the content generated by machines really accurate?
Do they have prejudices? And if newsrooms rely too much on AI, what will happen to the quality and humanity of journalism? The answer is not simple, but one thing is clear: We are living in an era where editing without fatigue - which is the machine - has begun to rise.
Redakers who don't know how tired they are
In the field of modern journalism, artificial intelligence is proving its superior ability in tasks that require processing large volumes of data and repetition. In major newsrooms, AI is no longer a science fiction technology but has become a powerful assistant in the editing process. Tools that use machine learning combined with natural language processing can scan through millions of data streams, identify trends, extract important information and transform them into easy-to-understand, easy-to-reach newsletters.
Sectors such as finance, sports and weather are where AI's clear strengths are being exploited. A typical example is that news agencies such as the Associated Press have used AI to create thousands of financial reports each quarter, with high accuracy and almost no manual intervention needed. Platforms like wordsmith have also proven their ability to create sports articles in almost real time, thereby helping the press maintain the pace of instant publishing, something that was previously difficult to achieve if only relying on human resources.
The biggest benefit that AI brings is the increase in scale and performance. With AI, press organizations can expand their content coverage without needing to recruit many more editors. From there, they can report on more topics, serving many different groups of readers, even areas that were previously overlooked due to resource constraints. AI also saves time by automating repetitive steps such as summarizing news, checking statements, or analyzing reader trends. Thanks to that, journalists can focus on investigative content, in-depth analysis or unique creation.
Not only saving time and effort, AI also has the ability to help improve content quality thanks to in-depth data analysis. With a huge amount of data, AI can detect hidden connections, predict trends or even detect unusual phenomena that are difficult to detect with the human eye. This not only supports reporters in the investigation process but also brings new perspectives, creating diversity in storytelling.
However, to effectively utilize this power, AI still needs close supervision and guidance from humans. Machines can help process and present data, but for the story to be truly meaningful and connect emotions with readers, it still requires humans. It is the combination of AI processing capabilities and emotional intelligence, professional intuition of journalists that is the foundation for a future of journalism that is both effective and rich in humanity.
Can't replace real journalists
Although AI is helping to significantly change the way content is produced, it is undeniable that relying too much on this technology has serious potential risks. One of the top challenges is the problem of the accuracy and skewedness of information generated by AI. Because they are trained on existing collections of data - sometimes incomplete or containing prejudices - AI models are prone to making "images" for information, that is, creating content that seems reasonable but is completely untrue. This can lead readers to be led away by false information that is not easy to detect.
The shift can also come from AI learning from trending or under-diversified data sources, leading to the repetition of social prejudices, making the voices of ethnic minorities poor. Meanwhile, one of the key tasks of journalism is to honestly and multi-dimmentally reflect the world, something that AI cannot fully undertake.
Not only that, AI can hardly replace the professional intuition, methodical skepticism and ethical feelings of a veteran journalist. Investigative journalism - a field that requires dedication, interview skills, understanding the context and professional ethics - is a typical example. Here, machines cannot reach witnesses, cannot identify shades in answers, and cannot make humane decisions based on real-life situations.
The over-repetition of AI-generated content models also weakens the diversity of language and journalism styles. When all newsletters have similar structures and unified language, readers will gradually feel strange and lack emotional connection with the information received. The creativity in prosecution and the unique perspective of each journalist are the factors that create the identity of each news agency, which AI cannot learn.
If AI completely dominates the news production process, the press industry will likely lose the core values that have created public trust. Values such as integrity, courage, self-criticism and community service cannot be programmed into a machine. They only exist when there are people - real journalists - behind every line of text.
Therefore, the rise of automatic editors needs to be placed in an overall strategy, where AI is a support tool, not a replacement. The press needs to build ethical standards, verification filters and transparent mechanisms to control the intervention of AI in the press making process. At the same time, journalists need to be trained to use AI scientifically, promoting its advantages while still maintaining professional identity.
Artificial Intelligence has, is and will continue to play an important role in the press industry. Automatic editors bring high productivity, cost savings, and expanded data access. But at the same time, the press community needs to clearly see the limits and risks of this technology. No machine can replace the intuition, courage and enthusiasm of a true journalist. In the AI era, the existence of professional journalists is not only not overshadowed, but becomes even more necessary to maintain the humanity, reliability and depth of news. The future of journalism depends on the ability to harmonize artificial intelligence and human intelligence, in a solid foundation of ethics and social responsibility.
