In Part 1 of this post, we discussed why artificial intelligence (AI) benchmark testing belongs in every contract you negotiate involving AI, why benchmarking is important for every kind of AI system, ...

Enterprise AI teams have spent years solving for compute, securing GPU allocations, negotiating cloud capacity, and ...

AI chatbots have been linked to serious mental health harms in heavy users, but there have been few standards for measuring whether they safeguard human well-being or just maximize for engagement. A ...

The government’s first evaluation of the “National Representative AI” has sparked controversy over fairness after it was revealed that the assessment included not only a common benchmark but also ...

Enterprises deploying closed AI models have generally relied on published safety benchmarks to assess risk before procurement and deployment decisions. New research from Cisco’s AI Threat Intelligence ...

There's no shortage of generative AI benchmarks designed to measure the performance and accuracy of a given model on completing various helpful enterprise tasks — from coding to instruction following ...

The Magic Hour AI Video Benchmark, launched in April 2026, offers a standardized framework to evaluate generative video tools on metrics like prompt adherence, scene stability, and lip-sync accuracy.

One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods. For decades, artificial intelligence has been evaluated through the question ...