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

A manager asks AI to 'rewrite this paragraph to sound more empathetic.' The AI produces a warm, caring-sounding response. What is the remaining risk before sending?

No risk — tone adjustment is a task AI handles reliably The AI will have removed all the key information from the paragraph Empathy-based language is prohibited in business communications The AI doesn't know the actual relationship — the rewritten tone may not match what the recipient expects from this person

A marketing team asks AI to generate 10 example customer personas for their advertising campaign. After reviewing the output, all 10 personas have similar demographic characteristics. What should the team do?

Add a disclaimer to the campaign noting AI was used Explicitly prompt the AI to generate diverse personas across age, gender, background, and geography to ensure more inclusive representation Accept the default output — AI generates representative samples of actual customer data Replace AI with manual persona creation to avoid bias entirely

A company builds a prompt library in Notion with 30 useful templates. After 3 months, some templates produce worse results than they used to. What is the most likely cause and solution?

All templates expire after 3 months due to API policy AI model updates changed behavior — review and update templates when models are upgraded, and record a version history The team is using too many templates — reduce to fewer than 10 Notion is not a suitable storage tool for prompt templates

Which of these professional tasks is LEAST reliably handled by current AI tools?

Making final strategic judgment calls that require understanding organizational politics and relationships Translating a document into another language Summarizing a long email thread Generating a first draft of a project status update

You ask an AI to write a project risk assessment and receive a generic, shallow response. What is the best next step?

Accept the generic output and edit it heavily yourself Ask the AI the same prompt a second time without changes Switch to a different AI tool — this one is too weak for business tasks Iterate with a more detailed follow-up: provide the specific project context, the type of risks to focus on, and the format you need

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?

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 No consequence — there are no rules about AI in academic settings yet

What is the MOST important mitigation when an AI system is used to make decisions that affect people's opportunities (hiring, lending, parole)?

Add a disclaimer that AI was used in the decision Maintain meaningful human review and oversight of individual decisions — automated consequential decisions require accountability Increase the volume of decisions made by AI to reduce human bias Use the newest, most capable AI model available

An employee's organization has not published any formal AI use policy. What is the safest assumption about AI use at work?

No policy means all AI tools are approved for any use Treat sensitive client data, confidential business information, and employee data with the same protection you'd apply to any third-party tool — assume AI APIs are external services No policy means AI cannot be used at work under any circumstances No policy means the employee is personally liable for any AI-related incidents

What is the primary benefit of marking variables in a prompt template using brackets like [CLIENT_NAME]?

It makes the changeable elements visually obvious, so any team member can fill them in without needing to understand prompt engineering It allows the template to work across different AI provider APIs The brackets are required syntax for AI models to recognize variable values Brackets encrypt the variable so the AI doesn't see the actual client name

You use an AI tool to draft a client proposal email. The AI includes a specific statistic — '73% of companies in your industry report cost savings from this approach.' What should you do before sending?

Remove all statistics since AI cannot know current data Send it — AI models only include verified statistics Verify the statistic independently — AI tools frequently fabricate specific data points and percentages Add a disclaimer that the email was AI-generated