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Google Updates Evaluation Process for Gemini AI, Raising Accuracy Concerns

Google accused of using novices to fact-check Gemini's AI answers

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Google has reportedly modified its evaluation process for its Gemini AI model, instructing contract workers to assess all prompts, regardless of their area of expertise. This change has sparked concerns about the accuracy and reliability of Gemini’s evaluations.

Previously, contractors evaluating Gemini’s output had the option to skip prompts that were outside their knowledge domain. However, updated guidelines now reportedly state that contractors should not skip any prompts, even those requiring specialized knowledge. Instead, they are asked to rate the parts they understand and indicate their lack of expertise in the specific area.

This change has drawn criticism from some contractors who believe it could compromise the accuracy of Gemini’s evaluations. They argue that expert assessment within specific domains is crucial for providing reliable feedback.

In response, Google has explained that the new guidelines aim to gather broader feedback on various aspects of the AI’s responses, including style, format, and other factors beyond content accuracy. The company maintains that the ratings do not directly influence the AI’s algorithms but serve as valuable data for measuring overall performance.

Google also emphasized that these changes should not necessarily impact Gemini’s accuracy, as raters are explicitly instructed to evaluate only the parts of the prompts within their understanding. The company highlighted its commitment to factual accuracy and pointed to its recent release of a benchmark that verifies the accuracy and detail of AI responses.

Despite these assurances, concerns persist about the potential effects of the revised guidelines on the quality and reliability of Gemini’s evaluations. As AI models continue to evolve, ensuring accurate and unbiased evaluation methods remains a crucial challenge.

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