Test AI robustness before launch: dirty inputs and adversarial cases
goyalshaliniuk · x · 2026-10-13
One fragment of an AI-evaluation thread. Robustness evaluation asks whether the AI still works when inputs aren't perfect: misspellings, ambiguous instructions, unexpected formats, missing information and adversarial inputs — surfacing edge cases before users hit them. The linked fragment covers safety evaluation: test prompt injection, jailbreaks, sensitive data exposure and unauthorized tool actions, critical for apps handling private data or external tools.
Related event: Evaluating Production AI: Performance, Cost and Robustness(2 posts)→
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