Digital Footprint
Privacy, Security & Surveillance
Media Literacy & Manipulation
Responsible AI Use in School
Responsible AI Use in School pt 2
100

What is a digital footprint?

The trail of information you leave online through posts, searches, and activities.

100

Why are “free” apps rarely free?

Users pay with personal data and attention.

100

What is misinformation?

False or inaccurate information shared without intent to harm.

100

Why should you always review AI responses before using them?

AI can make mistakes or give misleading information.

100

What is Artificial Intelligence (AI), and what is its main purpose?

AI is technology that can perform tasks that usually require human thinking, like understanding language or recognizing patterns. Its purpose is to help humans complete tasks faster, make decisions, or solve problems.

200

Which lasts longer online: a Snapchat message or a screenshot?

A screenshot.

200

What does a strong password usually include?

A mix of letters, numbers, and symbols.

200

What is disinformation?

False information shared on purpose to mislead.

200

What does it mean to “use AI as a tool, not a replacement”?

AI can help you think, but you do the learning and final work.

200

What are the three phases of generative AI

Phase 1: Training

Phase 2: Generation

Phase 3: Evaluation/Refinement

300

Name one way a positive digital footprint can help you in the future.

College admissions, jobs, scholarships, or building a good reputation.

300

What is phishing?

A scam where someone tries to trick you into sharing personal information.

300

What is confirmation bias, and how does it affect online research?

Favoring information that supports existing beliefs.

300

What is one way to show academic honesty when using AI?

Rewrite in your own words, cite it if required, and understand it.

300

 Name two different AI concepts and give two traits for each.


Machine Learning (ML) – Learns patterns from data; improves performance over time.

Generative AI – Creates new content; uses trained data to produce responses.

Supervised Learning – Humans provide labeled data; AI learns from feedback.

400

Why is “delete” not always permanent on the internet?

Content can be saved, shared, backed up, or archived by others.

400

Why should you avoid using the same password on multiple sites?

If one account is hacked, all accounts are at risk.

400

Name one way to check if an online source is trustworthy.

Check the author, date, domain, sources, or cross-check with another site

400

Why do teachers limit how AI can be used on assignments?

To make sure students are learning, not just submitting answers.

400

What are two ways AI can fail

AI can be biased because of the data it was trained on.

AI can make incorrect or unsafe decisions if it misinterprets patterns.

500

How is a digital footprint created without you actively posting online?

Through data tracking, cookies, app permissions, and browsing history.

500

How can location services pose a safety risk even if posts are private?

Apps can track and share real-time or stored location data.

500

How can deepfakes damage public trust even when they are exposed as fake?

They make people doubt real evidence.

500

How could overusing AI hurt your skills in the long run?

It can weaken critical thinking, writing, and problem-solving.

500

name two areas where AI has been used effectively in business and explain how it helped.

Customer service – AI chatbots answer questions quickly and reduce wait times.

Data analysis – AI analyzes large datasets to help businesses make better decisions and identify trends.