Diversity check (in AI research)
(Panel diversity check)A check run on a generated panel to confirm its personas actually vary in their answers, rather than having collapsed into near-identical responses.
Confirming a panel's personas actually disagree when they should.
A diversity check is a test run against a generated panel's answers to confirm the personas are actually behaving as distinct individuals — producing a meaningful spread of responses — rather than having collapsed into a single, repeated answer under different persona labels.
Why it matters
Without this check, a collapsed panel and a genuinely diverse one look identical on the surface: both present as "five personas answered." The diversity check is what tells you which one you actually got, before you treat the panel's aggregate answer as meaningfully representative of a range of views.
How thepanelist runs it
Every generated panel on thepanelist gets its own diversity check, scored against that specific panel's answers — not a one-time platform-level claim. If a panel scores as too similar, that's surfaced directly rather than hidden behind a confident-looking aggregate result.