AI at Work Quiz: Are You Getting the Most From AI Productivity Tools?

Which of the following represents RESPONSIBLE use of AI in a client-facing professional context?

Use AI but deny it if asked — clients don't need to know your production process Use AI to generate a first draft, verify all factual claims independently, apply your professional judgment to refine the content, and be transparent about AI assistance per your organization's policy Avoid AI entirely — no professional use of AI is currently compliant Generate the deliverable entirely with AI and submit it as-is

A sales team writes a different prompt every time they need to generate a follow-up email after a meeting. What is the highest-leverage improvement?

Create a reusable prompt template with clearly marked variables for meeting date, client name, key discussion points, and next steps Each salesperson should develop their own unique prompting style Only the most senior team members should use AI — it causes quality variance Switch to a more powerful AI model

A law student submits a legal brief that was substantially written by an AI, without disclosure, for a law school assignment. The professor discovers it. What is the most likely consequence?

No consequence — there are no rules about AI in academic settings yet The brief is automatically rejected for technical reasons The student receives partial credit since the AI wrote it, not the student Academic integrity violation — most law schools have explicit AI use policies, and submitting AI work as your own without disclosure violates them

A doctor uses AI diagnostic assistance for every patient case. Over two years, which professional risk should they actively manage?

Other physicians will distrust the doctor for using AI assistance Automation complacency — over-reliance may atrophy their independent diagnostic reasoning skills AI diagnostic tools will create legal liability because they are not FDA approved The AI will eventually replace them entirely within two years

A company uses AI to screen resumes and notice that the tool systematically ranks candidates from certain universities higher. What is the most likely cause?

The AI was trained on historical hiring data where those universities were over-represented among successful hires — encoding past selection bias The AI is correctly identifying the objectively better universities The university ranking reflects the AI's access to university prestige databases There is no cause — AI resume screening is required to be unbiased by design