Google's AI may be less accurate after change to review process: Report
- Google's AI technology could experience issues with accuracy, as reported in a recent report.
- The accuracy of Google's AI might decline due to adjustments implemented in its review process.
- A new review process may affect the precision with which Google's AI operates.
- Experts are reviewing the implications of the change in Google's AI review methodology.
20 Articles
20 Articles
Google's AI may be less accurate after change to review process: Report
Behind the generative artificial intelligence responses that Google gives users is an army of people who rate the responses for accuracy. However, a new policy change is raising concerns that Google’s Gemini AI may become more prone to giving inaccurate answers. It’s potentially a major concern, particularly as Gemini gives automated answers to searches related to healthcare. TechCrunch reported that Google changed the rules for rating AI-genera…
Supposed expert reviews of Google Gemini outputs are coming from non-experts
Like any genAI model, Google Gemini responses can sometimes be inaccurate, but in this case it might be because testers don't have the expertise to fact-check them. According to TechCrunch, the firm hired to improve accuracy for Gemini is now making its testers evaluate responses even if they don't have the "domain knowledge." SEE ALSO: Google adds Deep Research to Gemini for browsing the web on your behalf The report raises questions about…
Contractors Allegedly Required to Assess Unfamiliar Responses
Google’s Gemini AI may produce occasionally inaccurate responses, potentially due to testers lacking the necessary expertise to verify information effectively. Recent updates reveal that the team engaged to enhance Gemini’s accuracy has instructed testers to evaluate responses even if they lack “domain knowledge.” SEE ALSO: Google integrates Deep Research capabilities in Gemini for autonomous web browsing This situation raises concerns regard…
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