Safety and security
Capability evaluation and benchmarking
Capability evaluation and benchmarking is the work of measuring what AI systems can actually do and where they fail. AI companies need it to decide what to ship, what to fix and what to hold back.
Models now ship faster than the tests that judge them. Founders face questions about quality, risk and fitness for a customer's work, and a leaderboard score rarely answers them. The hires are tricky because the skill sits between disciplines. A strong candidate has the rigour of an experimental scientist, the habits of a software tester and enough domain sense to know when a test measures the wrong thing. Many people claim it. Few can show a valid test.
Roles in this family
5 roles
Where the people come from
Experimental science, statistics, software testing or domain evaluation
Not to be confused with. Benchmark performance is not a universal measure of intelligence or safety.
Core skills
Where it is used
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