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

An employee sends a client email that was AI-drafted and contains incorrect information. Who bears professional responsibility?

The employer — they allowed AI tool usage at work The AI tool provider — they provide the drafting service No one — errors from AI tools are treated as force majeure events The employee — they are responsible for the accuracy and appropriateness of anything they send, regardless of how it was drafted

A manager wants AI assistance woven into their daily Outlook + Word + Teams workflow without adopting a separate application. Which tool fits best?

Perplexity AI — a standalone research tool Microsoft 365 Copilot — AI integrated directly into Outlook, Word, Excel, and Teams Notion AI — requires migrating content to Notion Claude API — requires developer integration

Which of these is the most effective prompt for generating a useful competitive analysis?

'You are a market analyst. Compare the pricing, integrations, and enterprise support of ProductA and ProductB in a two-column table. Target audience: VP of Sales.' 'Tell me about ProductA and ProductB' 'Compare these products somehow' 'What do you think about these two products?'

Which prompting technique best helps a professional use AI to identify blind spots in their own analysis?

Ask AI to list the critical assumptions the analysis relies on, then ask what would happen if those assumptions were wrong Ask AI to summarize the analysis back in its own words Ask AI to write a better version of the analysis Ask AI to score the analysis out of 10

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

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 the employee is personally liable for any AI-related incidents No policy means AI cannot be used at work under any circumstances No policy means all AI tools are approved for any use

A strategy team wants to use AI to stress-test a business plan. Which prompt is most effective for this goal?

'Tell me if this business plan will succeed' 'Act as a skeptical board member. What are the three riskiest assumptions in this plan, and what evidence would change your view?' 'Summarize this business plan in three paragraphs' 'What improvements can you make to this plan?'

Which of these prompt template practices is MOST important for a large team to maintain quality over time?

Lock down templates so only administrators can use them Document expected outputs alongside each template so users know what 'good' looks like and can spot when quality has degraded Rotate to a new AI model every quarter to keep outputs fresh Require every user to rewrite 30% of the template before use

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

What does SOC 2 certification indicate about an AI tool vendor?

The vendor's AI models are certified as bias-free The vendor has undergone an independent security audit verifying their security controls, data availability, processing integrity, and confidentiality The vendor stores data in the US and is subject to US law The vendor is approved by the US government for handling classified data

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

An analyst needs to quickly understand the key findings of a 40-page industry report. Which AI use case is most appropriate?

Search for the report's conclusions using a general web search Ask AI to write an email about the report without reading it Use AI to generate a new industry report based on training data Document summarization — paste or upload the report and ask the AI for a structured summary of key findings

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

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

A small physical therapy clinic wants to use an AI scheduling chatbot on their website. Patients will input their names, contact info, and appointment reasons (which may reference medical conditions). What is required before deploying the chatbot?

A Business Associate Agreement (BAA) with the chatbot provider, since the chatbot may process Protected Health Information under HIPAA A standard terms of service acceptance by the clinic is sufficient Chatbots don't count as HIPAA-covered technology — only EHR systems do HIPAA only applies to clinics with more than 20 employees

A financial analyst uses an AI tool to draft a client investment report. The report contains an inaccurate statement. The analyst submits it without review. Who bears professional responsibility?

The AI tool provider — they provided the drafting capability The analyst — they are accountable for work they submit, regardless of how it was generated The client — they requested the report No one — inaccuracies in AI-generated content are treated as errors outside human control

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?

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 All templates expire after 3 months due to API policy Notion is not a suitable storage tool for prompt templates

A manager asks an AI to recommend which of two job candidates to hire. What is the correct role for AI in this decision?

AI can make the final hiring decision based on the resume data provided AI can help structure the evaluation criteria and surface considerations, but the hiring decision should be made by the human hiring manager AI can make the recommendation, but a human must type it into the HR system AI is too risky to use in any hiring process

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 Switch to a more powerful AI model Only the most senior team members should use AI — it causes quality variance

What is the biggest risk when an AI produces a confident-sounding analysis of your business?

AI analysis is too long — it always produces 10+ pages The AI may refuse to complete an analysis if the business is in a regulated industry AI doesn't know your actual organizational context — it analyzes the concept you described, not the specific realities of your situation AI may accidentally leak your business data to competitors

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 Use the newest, most capable AI model available 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

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 No consequence — there are no rules about AI in academic settings yet Academic integrity violation — most law schools have explicit AI use policies, and submitting AI work as your own without disclosure violates them