Apple’s newly launched artificial intelligence service, Apple Intelligence, is under fire after generating a false BBC news alert that misrepresented sensitive information. The alert, falsely attributed to the BBC, claimed that Luigi Mangione, a suspected assassin in the murder case of United Healthcare CEO Brian Thompson, had died by suicide.
The 26-year-old, however, is alive and currently detained in Pennsylvania, awaiting extradition to New York.
The BBC, one of the most trusted news outlets globally, quickly filed a formal complaint against Apple. A spokesperson for the BBC stated:
“It is essential to us that our audiences can trust any information or journalism published in our name, and that includes notifications.”
The broadcasting company emphasized the importance of credibility and trust in news delivery, calling for Apple to address the issue urgently.
Apple Intelligence, launched this week in the UK, aggregates news alerts from multiple sources using artificial intelligence. The service aims to provide concise and relevant news updates but has made several significant errors.
The misleading BBC alert was not the only instance of inaccurate reporting. In another incident on November 21, Apple’s AI incorrectly claimed that Israeli Prime Minister Benjamin Netanyahu had been arrested. This notification was a result of the AI grouping unrelated articles from The New York Times.
In reality, the news referred to an International Criminal Court arrest warrant, not an actual arrest.
These incidents have sparked widespread criticism over the reliability of AI-generated news. Journalists and media organizations have raised concerns about the potential for misinformation when AI aggregates news content without human oversight.
The ProPublica journalist who flagged the Netanyahu error highlighted the risks of AI services misinterpreting or misrepresenting sensitive topics, further undermining public trust in digital news platforms.
While Apple has yet to release a formal statement addressing the BBC’s complaint, the company is expected to review its AI service’s algorithms and content moderation protocols to prevent future errors.
This controversy underscores the need for robust quality checks in AI-driven news platforms. As media organizations increasingly rely on AI for content distribution, ensuring factual accuracy and credibility remains paramount.
