The placement of AI-generated factual errors is unpredictable – you might not expect a human to be confused about the word “earn,” (the problem in CNET’s compound interest article) for example. With AI-generated content, errors are more likely to slip past even a diligent and talented human editor than they would on a draft from a human. ![]() If I have to go over someone’s work with a fine-toothed comb because I know that they make stuff up, I’m going to miss things and errors will slip through. If I have to do massive rewrites, I’m better off composing the entire article from scratch and putting my own byline on it. My goal is to breeze through clean and insightful copy from people I trust. Yes, I find errors and fix them, but if I hire a freelancer just once and they turn in a story that has the problems AI-generated work poses – wrong facts, illogical / contradictory statements or outright plagiarism – I would never work with that person again. I’ve been editing the work of humans for more than two decades and I take every draft I read very seriously. However, not only does having humans heavily edit a bot’s work defeat the low-friction purpose of using the bot in the first place, but it also won’t catch all the errors. Many AI proponents believe that the solution to problematic AI output is to throw human resources against it hire editors and fact-checkers to make the bot look like a good writer. Why Humans Fact-Checking AI Isn’t the Answer G/O Media Editorial Director Merrill Brown, who oversees Gizmodo, told Vox’s Peter Kafka that AI content is “absolutely a thing we want to do more of” and that it is “well-received by search engines.” The Star Wars article was briefly in the top 10 results on Google for the term “Star Wars movies,” which is not exactly a ringing endorsement. ![]() ![]() Despite these kinds of embarrassing errors, some folks are bullish on AI-generated articles, because they think that Google ranking is the ultimate validation.
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