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

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bias from the model's training cutoff date Representation bias in AI-generated images Training data bias caused by outdated information

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

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 Using only the most expensive AI model to ensure maximum accuracy

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

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

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?

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