CNET’s AI Article Generator Fails Fact Check

A recent experiment by technology news site CNET, in which they allowed an AI to write articles for their site, has sparked outrage among critics. The AI-generated articles, which were published under a human-sounding byline, “CNET Money Staff,” raised concerns that the experiment was an attempt to eliminate work for entry-level writers and that the accuracy of current-generation AI text generators is notoriously poor.

After the backlash, CNET editor-in-chief Connie Guglielmo acknowledged the AI-written articles in a post, and promised that every story published under the program had been “reviewed, fact-checked and edited by an editor with topical expertise before we hit publish.”

However, an analysis of one of the AI-generated articles revealed a series of errors that call into question the credibility of using AI to replace human writers. The article, which is a basic explainer about compound interest, contains a mathematical formula that is incorrect and provides unrealistic expectations for readers with little financial knowledge. Another error in the article involves the AI’s description of how loans work, which again is not accurate and could mislead readers.

The experiment by CNET raises important questions about the ethics and accuracy of using AI to write news articles. While AI technology has advanced significantly in recent years, the current generation of AI text generators is still prone to errors and inaccuracies. It also raises concerns about the potential for AI to replace entry-level writers and the impact on the workforce.

The CNET experiment highlights the need for transparency and fact-checking when using AI to write news articles, and the importance of ensuring that the technology is not used to mislead or misinform readers.