Artificial intelligence (AI) has rapidly developed in recent years and has expanded into the field of content creation. This very article was written with the help of ChatGPT Version 4. To create this article we used the older version of the article that was written by a human without the help of AI as the basis for the new one. Then, we told the AI to rewrite the article with more up-to-date information.
The problem with updating an article like this is that the content ChatGPT was trained on is years old. So it's not possible for the AI to update it to current standards. But it has been possible to edit the AI's output as we have done here. To do this we combined ChatGPT with Google Bard. Google Bard isn't as good at creating content, but the references it pulls are directly from current search engine results, so they aren't years old like ChatGPT currently is.
We use A.I. to assist our reputation management campaigns because it can help develop topic ideas quickly, quickly find facts, and expand content. But it still needs humans to warm up the copy.
AI isn't new. In fact, AI-powered bots have already been integrated into lots of online platforms, creating written content that ranges from news articles to social media posts, and even haikus!
Automated Journalism and the Rise of AI Writing Has Been Around for a While
Automated journalism, also known as algorithmic journalism, has been in use for nearly a decade now. The Associated Press (AP), for example, has long had an automated system that creates articles on its own, mainly covering quarterly earnings reports of companies. The system has been simple and didn't require much creativity or syntax, making it ideal for computer-generated articles. This saved journalists time and drudgery.
Even before ChatGPT arrived, over 40% of news organizations worldwide were already using AI in their reporting
AI writing has also spread to wikis and online encyclopedias. A physicist from Sweden, Sverker Johansson, created a computer program called Lsjbot to write Wikipedia articles. Although the bot has edited millions of articles, many have been removed due to a lack of documentation. AI has a hard time proving references, so it's a challenge for AI to write Wikipedia articles all by itself.
AI has become so prevalent in content creation that a rapidly growing number of companies now offer AI writing services for marketing copy, blogs, and even longer forms of writing, like novels.
However, despite the growing capabilities of AI writing, there are still limitations to its abilities. For example, AI can't produce complex news stories that require human intervention (a human "touch"). Although A.I. is improving fast, experts believe that human journalists will continue to produce more creative, nuanced, and complex stories – at least for now.
Can Bots Replace Human Journalists?
Can robots replace journalists? The answer is "sometimes". With the increasing number of bots already writing articles, especially since the rise of ChatGPT in November 2022, many wonder whether AI will eventually replace human journalists. While it is still unlikely, it is not impossible.
We think human journalists will continue to play a significant role in news reporting. For instance, an AI cannot arrive on the scene and report in real-time. AI's that rely on large language models still regurgitate things that have already been written, but in a different way. Complex stories that require critical thinking, creativity, and analysis are still beyond the grasp of AI.
Bots can write straightforward stories that require little research, but they lack the necessary human touch to engage readers fully in most instances. Nonetheless, AI can be used to complement human journalists by freeing them up to focus on more interesting and creative stories. For example, the AP's bot wrote a basic story on Apple's quarterly earnings, and the Los Angeles Times uses a bot to report on earthquake activity.
Using AI for Blog Writing
Like we said above, this article was written with the help of ChatGPT. Clearly, bots can be used to generate content quickly and efficiently, making it possible to produce a large volume of articles in a short amount of time - but they're really just stringing words together in a logical manner. If you run this article through a system that detects AI content it scores are generally low.
Blogs often require a personal touch and a unique perspective that bots are not yet capable of providing. For this reason, using AI for blog writing should be approached with caution; we know that search engines like Google are scrambling to weed out low-quality content at an even more frenzied pace now than they were before. While bots can provide a starting point for a blog article, human writers should be involved in the process of adding creativity and personality to the content.
As mentioned above, the most obvious use for AI in blog or article writing is in creating data-driven content. Bots can be used to analyze data and generate reports, which can then be used to create blog articles. For example, this works especially well for sports writing, but probably should not be used to write about healthcare or other life and death-related content.
Another application of AI in blog writing is in creating content in multiple languages. Bots have been trained to help write in multiple languages, making it possible to create content for global audiences. But it still needs a native speaker for quality assurance. It's all too easy to get the subtleties wrong when translating content automatically.
Conclusion (written by a bot, and unedited)
In conclusion, AI-powered content creation is on the rise and is already being used by news organizations, online encyclopedias, and many other industries. While bots can save time and resources, they still lack the creativity, critical thinking, and human touch that are required for complex stories and engaging content. AI-generated content can be used as a starting point for blog articles, but it's important to involve human writers in the process of adding personality and creativity to the content.
Moreover, the most obvious use for AI in blog or article writing is in creating data-driven content, which works especially well for sports writing. However, it's essential to keep in mind that AI is not perfect and still needs human intervention to produce high-quality content.
As AI technology continues to improve, we can expect to see more applications in content creation. But for now, human journalists and writers remain essential in producing creative and nuanced stories that capture readers' attention. AI can complement their work and free up their time, allowing them to focus on more interesting and complex stories.