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Largest study of its kind shows AI assistants misrepresent news content 45% of the time – regardless of language or territory (www.bbc.co.uk)

submitted 5 months ago* (last edited 5 months ago) by IcedRaktajino@startrek.website to c/news@lemmy.world

12 comments fedilink hide all child comments

An intensive international study was coordinated by the European Broadcasting Union (EBU) and led by the BBC

New research coordinated by the European Broadcasting Union (EBU) and led by the BBC has found that AI assistants -- already a daily information gateway for millions of people -- routinely misrepresent news content no matter which language, territory, or AI platform is tested. The intensive international study of unprecedented scope and scale was launched at the EBU News Assembly, in Naples. Involving 22 public service media (PSM) organizations in 18 countries working in 14 languages, it identified multiple systemic issues across four leading AI tools. Professional journalists from participating PSM evaluated more than 3,000 responses from ChatGPT, Copilot, Gemini, and Perplexity against key criteria, including accuracy, sourcing, distinguishing opinion from fact, and providing context.

Key findings:

45% of all AI answers had at least one significant issue.
31% of responses showed serious sourcing problems - missing, misleading, or incorrect attributions.
20% contained major accuracy issues, including hallucinated details and outdated information.
Gemini performed worst with significant issues in 76% of responses, more than double the other assistants, largely due to its poor sourcing performance.
Comparison between the BBC's results earlier this year and this study show some improvements but still high levels of errors.

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[–] TrickDacy@lemmy.world 8 points 5 months ago

LLMs basically work from attempting to synthesize information. Which can already be incorrect.

What a shock that software that essentially smashes together a bunch of (often wrong) opinions/statements could be, gasp, wrong!