“Revealed: Shocking Flaws in AI News Summaries That Could Mislead Millions!”
Artificial Intelligence (AI) has become the digital age’s equivalent of a jack-of-all-trades—or should I say jack-of-all-mistakes? Sure, it can whip up emails and even assemble websites like a caffeinated intern, but when it comes to nailing down hard facts, it often falls flat. Hot off the presses, a new study by the BBC pulls back the curtain on how well— or rather, how poorly—AI tools like OpenAI, Google Gemini, Microsoft Copilot, and Perplexity perform at summarizing news. Spoiler alert: turns out, they’re not winning any accuracy awards. With a staggering 51 percent of answers riddled with major errors, it’s clear we’ve got a long way to go before trusting our digital assistants to give us the scoop. So, if you’ve ever felt uneasy about relying on AI for your news fix, you’re not alone—let’s dive into the findings! [LEARN MORE](https://www.bbc.com/news/articles/c0m17d8827ko).
Artificial Intelligence (AI) has been a hot topic in recent years. While the tool can streamline certain tasks, such as email writing, website building, and code creation, it’s far from perfect. In fact, a new BBC study shows that AI has a long way to go when it comes to delivering accurate news to readers.
The BBC report [PDF] looks at news summaries generated by four major AI assistants: OpenAI, Google Gemini, Microsoft Copilot, and Perplexity. The outlet asked them 100 news-related questions, prompting them to use its publication as a source as much as possible. BBC journalists who were experts on the topics reviewed the answers, considering factors like accuracy, fairness, and representation.
