A county-fair lost-and-found booth wants a flyer that calls their new FAQ bot “always correct.” What does a trustworthy-AI approach require instead?
Select an answer to reveal the explanation.
Short Explanation
“Always correct” on a flyer is the opposite of trustworthy AI. Test the bot for safety and bias, then document how it was built and where it fails. A bigger model, a “never be wrong” prompt, and a high average score do not replace that honesty.
Full Explanation
Trustworthy AI starts from the fact that no model is perfect. Teams test for safety and bias and then document how the system was built, what it is for, and where it fails. A flyer that promises “always correct” contradicts that principle. A sterner system prompt or a single headline score does not replace testing and honest documentation.