Question 1 of 10 · AI Awareness
Which of these is an example of AI being used in everyday life?
A
Google Maps analyzing traffic in real time to suggest the fastest route
B
A printed street map from 1998
C
A telephone directory sorted alphabetically
D
A paper form filled in by hand
Google Maps uses machine learning models trained on billions of traffic data points to predict congestion, reroute dynamically, and estimate arrival times. This is AI working in real time — invisibly, every day.
Question 2 of 10 · AI Awareness
What does "machine learning" most accurately describe?
A
A robot that physically moves and builds things
B
A computer that follows a fixed set of programmed rules
C
A system that improves its performance by finding patterns in data, without being explicitly programmed for each task
D
A search engine that retrieves pre-written answers
Machine learning systems learn from examples rather than rules. Instead of a programmer writing "if X then Y," the model discovers patterns in data on its own — which is why it can handle tasks too complex to hand-code, like image recognition or language understanding.
Question 3 of 10 · AI Awareness
True or false: AI systems can produce incorrect or misleading outputs even when they sound confident and authoritative.
A
True — AI can "hallucinate," generating plausible-sounding but factually wrong information
B
False — AI only outputs information it has verified as accurate
This is one of the most important AI literacy concepts. Language models generate statistically likely text — they don't "know" facts the way a database does. Always verify AI-generated information before acting on it, especially for medical, legal, or financial decisions.
Question 4 of 10 · Practical Use
Your manager needs a professional email drafted to a client about a project delay. Which approach would be most effective?
A
Use spell-check only and rely on your own writing skills
B
Use an AI writing tool like ChatGPT with a detailed prompt describing the situation, tone, and key points to cover
C
Ask a colleague to write it for you
D
Print a generic email template and fill in the blanks
AI writing tools excel at professional communication when given clear context. The key skill is prompt engineering — the more specific your prompt (situation, tone, audience, key points), the better the output. Always review and personalize the AI draft before sending.
Question 5 of 10 · Practical Use
Scenario: Your manager hands you a spreadsheet with 500 rows of customer sales data and asks: "Are there any patterns here?" You have access to Excel, ChatGPT, and Google Sheets with Gemini.
What is the most efficient and effective approach?
A
Manually read through all 500 rows and take notes
B
Create a single average formula and report that number
C
Upload the data to an AI tool, ask it to identify trends, outliers, and correlations, then validate the findings yourself
D
Forward it to IT and wait for a data analyst
AI-assisted data analysis is a core modern workplace skill. Tools like ChatGPT's code interpreter or Google Sheets Gemini can surface patterns in seconds that would take hours manually. The critical skill is human validation — you interpret and verify the AI's findings.
Question 6 of 10 · Practical Use
Which of the following is the best description of "prompt engineering"?
A
Building the AI software itself
B
Typing a single keyword into a search bar
C
Fixing errors in AI-generated code
D
Crafting clear, specific instructions that guide an AI tool to produce the output you actually need
Prompt engineering is one of the highest-value AI skills for non-technical workers. A well-structured prompt includes: role/context ("You are a professional HR manager"), the task, the format you need, and any constraints. The difference between a vague prompt and a specific one can mean the difference between unusable output and a polished draft.
Question 7 of 10 · Practical Use
Scenario: You're applying for a job and want to tailor your resume to a specific posting. The job description is three paragraphs long.
How would you use AI to maximize your chances?
A
Ask AI to write your resume from scratch without giving it any details about you
B
Paste both your current resume and the job description into an AI tool and ask it to identify gaps, suggest improvements, and align your language with the posting's keywords
C
Use AI to generate a list of impressive buzzwords to add
D
Send the same resume to every job without customizing
AI is most powerful as a thinking partner, not a replacement author. By giving it your actual materials and a specific target, you get actionable, personalized feedback — keyword alignment, gap identification, and tone matching — that a generic template can never provide.
Question 8 of 10 · Safety & Privacy
You're using an AI chatbot at work to draft a document. Which of the following would be unsafe to include in your prompt?
A
The general topic you're writing about
B
The professional tone you want to strike
C
A customer's full name, Social Security number, and medical history
D
A word count target and the audience for the document
Personal Identifiable Information (PII) and Protected Health Information (PHI) should never be entered into external AI tools. Most commercial AI chatbots use submitted data to improve their models — meaning sensitive information could be retained, reviewed, or inadvertently exposed. Use anonymized or fictional stand-ins for any real personal data.
Question 9 of 10 · Safety & Privacy
An AI tool generates a news article summary that confirms your existing opinion. What is the responsible next step?
A
Share it immediately because it confirms what you already believed
B
Verify the key claims by reading the original source before sharing
C
Assume AI summaries are always accurate because they process more information than you can
D
Ask the AI to generate a second summary to double-check the first
Confirmation bias is amplified by AI tools that generate confident-sounding text. AI summaries can contain errors, omissions, or subtle distortions. The responsible practice is source verification — especially before sharing information with others. Asking the same AI to verify itself doesn't help; it will often just reconfirm its own output.
Question 10 of 10 · Safety & Privacy
Scenario: Your employer has an AI tool available for internal use. A vendor emails you offering a "better" AI tool and asks you to process company data through their system.
What is the safest response?
A
Try the new tool — if it's better, your manager will appreciate the initiative
B
Only use it for non-sensitive tasks
C
Ask your coworkers if they've heard of the vendor
D
Decline and report the request to IT/security — processing company data through unapproved external systems violates most corporate data policies and could be a phishing attempt
This is a classic social engineering / phishing vector targeted at AI-curious employees. Legitimate vendors do not cold-email individual employees asking to process company data. Always verify with IT before using any AI tool for work purposes, and understand your organization's approved software policy.
