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

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

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

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

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 Generate the deliverable entirely with AI and submit it as-is Avoid AI entirely — no professional use of AI is currently compliant 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

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?

HIPAA only applies to clinics with more than 20 employees Chatbots don't count as HIPAA-covered technology — only EHR systems do 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

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

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

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 All templates expire after 3 months due to API policy The team is using too many templates — reduce to fewer than 10 Notion is not a suitable storage tool for prompt templates

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?

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

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 Increase the volume of decisions made by AI to reduce human bias Maintain meaningful human review and oversight of individual decisions — automated consequential decisions require accountability

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?

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

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

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

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?

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

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

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

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 Anonymize the data — replace the customer name with 'Customer' and describe the order generically — before sending to the AI tool Ask the AI not to store the customer's name after the session

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?

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

Which of these tasks represents the BEST use of human professional judgment rather than AI?

Generating three options for a marketing tagline Deciding how to handle a sensitive interpersonal conflict on your team based on the history and relationships involved Drafting a meeting follow-up summary Translating a document to another language

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 Representation bias in AI-generated images Training data bias caused by outdated information Recency bias from the model's training cutoff date

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

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

The vendor stores data in the US and is subject to US law 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 is approved by the US government for handling classified data

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 AI tool provider — they provided the drafting capability The analyst — they are accountable for work they submit, regardless of how it was generated

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

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