As enterprises increasingly integrate AI across their operations, the stakes for selecting the right model have never been higher and many technology leaders lean heavily on standard industry ...

As artificial intelligence rapidly advances, how do we assess whether these systems are truly effective, ethical, and safe? Evaluation methods need to evolve beyond straightforward accuracy metrics to ...

Fellow Stephen Casper and coauthors propose proportional evaluation approaches to open-weight AI models. They argue that such mechanisms are necessary because existing evaluation practices are able ...

A renegotiated deal between the three companies and the Center for Artificial Intelligence Standards and Innovation allows ...

Model evaluation measures how well a trained machine learning model performs on unseen data, while validation guides tuning during development. Best practice involves splitting data into training, ...

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NIST evaluation reveals Chinese AI leader DeepSeek V4 Pro trails US frontier models by 8 months in performance benchmarks. The assessment marks the first concrete measurement of the US-China AI ...

The social sector generally considers leadership development a good investment, especially when it comes to cultivating systems-level change. But ask leadership program developers and evaluators, ...

Logic models are a visual representation of your program. They display the resources available for your program, the short and long-term goals for your trainees and the activities that you have ...