人工智能基准测试已经失效。这是我们需要的替代方案。
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For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks. This framing is seductive: An AI vs. human comparison on isolated problems with clear…
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MIT Technology Review (United States) | Mar 31, 2026
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Maintaining human-centric benchmarks is essential for ensuring AI systems remain accountable and aligned with human values.
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Current benchmarks, despite their flaws, provide a familiar framework for understanding AI advancements and should not be discarded entirely.
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Shifting focus from human comparison to task efficiency could drive innovation and prioritize AI's unique strengths.
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Redefining AI performance metrics could lead to misinterpretation of capabilities, potentially causing public mistrust in AI technologies.
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AI benchmarks should evolve beyond human comparisons to better reflect real-world applications and collaborative potential.
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