Researchers are racing to develop more challenging, interpretable, and fair assessments of AI models that reflect real-world use cases. The stakes are high. Benchmarks are often reduced to leaderboard ...

Workforce productivity redesign depends on trust to improve healthcare staffing decisions and operational flexibility amid reimbursement pressures.

To fix the way we test and measure models, AI is learning tricks from social science. It’s not easy being one of Silicon Valley’s favorite benchmarks. SWE-Bench (pronounced “swee bench”) launched in ...

Artificial intelligence has traditionally advanced through automatic accuracy tests in tasks meant to approximate human knowledge. Carefully crafted benchmark tests such as The General Language ...

They could offer a more nuanced way to measure AI’s bias and its understanding of the world. New AI benchmarks could help developers reduce bias in AI models, potentially making them fairer and less ...