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Are we being lied to about how smart AI is?

The Daily Aus

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Benchmarking AI: Navigating Fairness and Transparency

This chapter examines the challenges of establishing fair and consistent testing benchmarks for artificial intelligence models, focusing on the risks of selective testing and data contamination. It underscores the necessity for trust and accountability in AI development, as misleading evaluations can impact consumer confidence and government policies.

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