Journalism has changed dramatically in recent years, and not least through the use of artificial intelligence. Particularly exciting is the use of generative AI, which makes it possible to automatically generate texts written by humans. But what exactly is generative AI and how is it changing journalism?
Generative AI is based on algorithms that can write texts that are almost indistinguishable from humans. This involves analyzing huge amounts of data and recognizing patterns, which can then be used to generate new texts. The result is texts that are high-quality and error-free, but still written by a machine.
The advantages are obvious: with generative AI, journalists can save time and focus on other tasks while the AI does the work. In addition, large amounts of data can be analyzed and processed quickly, which is particularly advantageous when reporting on complex topics.
One example of this is the news service Bloomberg, which has been relying on generative AI to produce financial news for some time. The texts are so convincing that they can hardly be distinguished from human copywriters.
The New York Times also relies on AI tools to provide readers with personalized news offerings. The behavior of readers is analyzed and an individual news offer is generated from this.
In Germany, the startup Retresco is working on AI-based solutions for the media industry. Here, for example, sports reports or financial news are generated automatically.
Another possibility for the use of AI in journalism are language models such as ChatGPT. These models are trained to generate human-like responses to questions or comments. This allows for greater personalization of news, as each reader can receive a customized response. ChatGPT can also be used to automatically generate articles by analyzing data sources such as RSS feeds, social media, and other websites to gather relevant information.
Another tool that has become increasingly important in AI-based reporting in recent years is Dall-E. Dall-E is a generative model developed by OpenAI that is able to create images based on text descriptions. This has numerous applications in journalism, for example, images can be automatically created for articles to illustrate the content of the article. Again, personalized images can be created for individual readers to enhance the experience.
But the use of generative AI in journalism is also associated with risks. Critics fear that the use of AI will endanger human jobs. There is also a danger that AI-based texts will become too uniform and impersonal, compromising the diversity of journalism.
Ethical concerns are also being raised: Who is responsible for the generated text? How can false news and propaganda be avoided? And what about copyrights on generated text?
Despite these challenges, the use of generative AI in journalism is on the rise. More and more publishers and newsrooms are turning to AI-based tools to streamline their work processes and make them more efficient.
Despite the opportunities and challenges that generative AI brings to journalism, it is likely to become more widespread and an important tool for journalists in the future. Because one thing is certain: the use of AI in journalism will change journalism – but whether for the better or for the worse remains to be seen.