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Amazon has partnered with the independent nonprofit AVERI to conduct an external audit of its internal AI safety evaluation protocols, focusing on dataset diversity and methodological rigor rather than just model outputs. This initiative highlights a critical shift in the industry toward third-party verification to ensure that safety testing frameworks themselves are robust against contamination and blind spots inherent to internal review processes.
Strengthening AI safety evaluation through independent third-party review
How Amazon partnered with AVERI to independently assess — and improve — our internal safety testing of Amazon models.
As frontier AI models grow in capability, so does the importance of ensuring that safety evaluations are rigorous and comprehensive. At Amazon, we invest heavily in internal safety testing for our models, spanning categories like harmful-content generation, cybersecurity risks, privacy protection, and copyright compliance. AVERI’s…
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