Lesson 1385 of 1596
AI and a vendor AI due-diligence questionnaire
Use AI to draft a vendor questionnaire that gets straight answers about training data, evaluation, and incident history.
Creators · Ethics & Society · ~5 min read
The premise
Vendor sales decks dodge hard questions. A structured questionnaire forces specifics on data, evals, and incidents.
What AI does well here
- Draft questions that resist marketing answers.
- Group questions by data, model, evaluation, security, incidents.
- Flag answers that should require evidence, not assertion.
What AI cannot do
- Verify the vendor's answers.
- Replace your security team's review.
- Catch a lie.
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain vendor diligence in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI and a vendor AI due-diligence questionnaire" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check training data against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
Curious about “AI and a vendor AI due-diligence questionnaire”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 11 min
AI training data removal request handling process
Use AI to draft an internal process for handling individual requests to remove personal data from AI training corpora.
Creators · 10 min
AI and Data Minimization Audit: Trimming the Training Set
AI can audit a training dataset against a minimization principle, but the data steward decides what to remove.
Creators · 10 min
AI and Evaluation Set Coverage Gaps: What's Missing From the Test
AI can analyze an eval set for coverage gaps against a use case, but the eval owner decides what new examples to add.