Internal guidelines passed down from Google led to concerns that the AI model could be prone to inaccurate outputs on topics like healthcare.

According to TechCrunch, “a new internal guideline passed down from Google to contractors working on Gemini has led to concerns that Gemini could be more prone to spouting out inaccurate information on highly sensitive topics, like healthcare, to regular people.”

Google seems to disregard the hallucination and error problem by simply adding a disclaimer that "Gemini can make mistakes, so double-check it," which effectively absolves it from any responsibility. But that doesn't account for the humans doing the work behind the scenes.

Non-experts are increasingly being asked to evaluate output from Google's Gemini AI model; is that worth being concerned about?

Days after Google Deepmind touted its work toward factual accuracy, reports indicate its evaluation policies could be doing the opposite