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

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

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

Increase the volume of decisions made by AI to reduce human bias Use the newest, most capable AI model available Add a disclaimer that AI was used in the decision 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?

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

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

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

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

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

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

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

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?

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

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 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 The student receives partial credit since the AI wrote it, not the student

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?

There is no cause — AI resume screening is required to be unbiased by design The university ranking reflects the AI's access to university prestige databases 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

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

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

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

Ask the AI the same prompt a second time without changes Accept the generic output and edit it heavily yourself 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

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 may accidentally leak your business data to competitors 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

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

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

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 AI diagnostic tools will create legal liability because they are not FDA approved Automation complacency — over-reliance may atrophy their independent diagnostic reasoning skills

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

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 The vendor's AI models are certified as bias-free The vendor stores data in the US and is subject to US law

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

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

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

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 Require every user to rewrite 30% of the template before use Rotate to a new AI model every quarter to keep outputs fresh

A product manager wants AI to identify weaknesses in a business case. Which prompting technique is most effective?

Ask for a step-by-step summary of the document without specifying the feedback goal Ask the AI to 'improve' the business case without specifying what type of feedback is wanted Tell the AI the business case is strong to encourage positive framing Persona assignment — 'Act as a skeptical CFO reviewing this business case. Identify the three weakest financial assumptions.'