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

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

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

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

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 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 The brief is automatically rejected for technical reasons No consequence — there are no rules about AI in academic settings yet

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

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

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

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

A small business wants to use AI for drafting responses to customer complaints that include customer names and order details. What is the simplest way to reduce privacy risk while still using AI?

Never use AI for any customer-related communications Use AI only on Tuesdays when server load is lower and data is more secure Ask the AI not to store the customer's name after the session Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool

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

The AI will eventually replace them entirely within two years 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

What is the most effective first step when asking an AI to write a professional email on your behalf?

Use the AI's default style so it doesn't sound AI-generated Provide the context — who the recipient is, what the goal is, and what tone is appropriate — before asking for a draft Write the email yourself first, then ask AI to make it longer Ask for the email without context and then copy it directly

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.' 'Compare these products somehow' 'Tell me about ProductA and ProductB' 'What do you think about these two products?'

Which description best captures the proper role of AI in professional work?

AI handles complex tasks; professionals handle simple formatting and administration AI should be used equally for all task types to maximize efficiency AI handles all tasks so professionals can focus on building relationships AI handles tasks below your professional ceiling — freeing your time and attention for the work that genuinely requires your expertise and judgment

What does 'chain-of-thought prompting' mean?

Instructing the AI to reason through a problem step by step before giving its final answer — which improves accuracy on complex tasks Asking the AI to repeat your question back before answering Sending multiple messages in sequence to build up a long conversation Providing several examples before the main task

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?

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

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 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 The AI may refuse to complete an analysis if the business is in a regulated industry

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

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

A small accounting firm uses the free version of an AI chatbot to help draft client financial summaries. The summaries include client names and income figures. What is the primary data risk?

No risk — small accounting firms are exempt from data confidentiality regulations Free-tier AI tools may use inputs for model training, potentially exposing client financial data — this likely violates professional confidentiality obligations The AI chatbot will share client financial data with the IRS Free AI tools automatically encrypt all submitted data

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

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

What habit best protects a professional from automation complacency when using AI regularly?

Forming an independent take on a problem before asking AI, then comparing and critically evaluating the AI's perspective Limiting AI use to one tool at a time Using only the most expensive AI model to ensure maximum accuracy Never using AI for tasks that could affect clients

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?

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

An AI customer service chatbot performs measurably worse for customers who use non-standard English syntax. This is an example of which type of AI bias?

Performance disparity bias — the model performs less accurately on language patterns underrepresented in its training data Recency bias from the model's training cutoff date Representation bias in AI-generated images Training data bias caused by outdated information

Which AI tool is purpose-built to automatically transcribe and summarize meetings, extracting action items?

ChatGPT — by manually typing what was said in the meeting Meeting transcription tools like Otter.ai, Fireflies.ai, or Microsoft Copilot in Teams Adobe Acrobat AI — designed for PDF document review Perplexity AI — which is designed for web research