CKO-047Evidence Quality & the FutureStrong evidence

Why should AI evaluations be shared?

Sharing evaluations helps build a cumulative evidence base and improves collective learning.

In more detail

When evaluation findings remain private, other organisations cannot learn from successes and failures. Sharing both positive and negative findings supports transparency and reduces duplication.

Why it matters

Open evaluation accelerates progress.

Decision rule

Publish evaluations whenever feasible.

Common misconception

  • “Only successful evaluations are valuable.”

At a glance

Evidence strength
Strong

Related concepts

Open Science Benchmarking Validation
Key takeaway

Negative findings are valuable scientific contributions.

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