Eval Washing
Definition
Eval washing refers to the glossy presentation of test results of an AI system.
The critical term describes that selected favorable tests convey a more comprehensive picture of performance or safety than the results actually support. The AI may function in reality while its presentation hides important limitations.
Simply explained
A report card looks better if only the best subjects are shown. The omitted results may be important for the decision.
Why it matters in practice
Helps to assess AI offerings based on your own tasks rather than solely on advertising claims.
Example from business
Hypothetical example: A document AI is advertised only with clean PDFs; in operation, poorly scanned forms are also relevant.
Limits and pitfalls
- A weak test result does not prove deliberate deception. Test selection, conditions, and statements must be considered together.
Origin & history
The term transfers the criticism of glossy public relations to AI evaluations.
Use in mid-sized companies
- Include your own typical and difficult cases in the acceptance of an AI solution.
Frequently asked questions
Is every good benchmark score Eval washing?
No, the decisive factor is whether its limitations are transparent and the derived statements are appropriate.
Sources
- Eval Washing, dokumentierter Sprachgebrauch · Davies Meyer: Eval Washing, dokumentierter Sprachgebrauch
Editorially reviewed on: