AI benchmarks are broken. Here's what we need instead.

Traditional AI benchmarks that measure performance against individual human tasks are inadequate as they fail to reflect real-world usage within complex organizational workflows. This misalignment leads to underperformance and wasted resources in practical applications across sectors like healthcare. A new approach, HAIC benchmarks, evaluates AI's long-term impact on team productivity and workflow efficiency, offering a more accurate assessment of its real-world capabilities.

Read the full article at MIT Tech Review

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