Deepfakes & Misinformation
Types of AI
Benefits of AI
AI risks & ethics
What is AI?
100

What is a deepfake?

A fake audio or video created using AI.

100

What is “narrow AI”?

AI built to do a specific task.

100

Name one way AI helps healthcare.

Detecting diseases early, reading scans, predicting risks.

100

Name one risk of AI.

Job loss, bias, privacy issues, misinformation.

100

What does “AI” stand for?

Artificial Intelligence.

200

Why are deepfakes dangerous?

They can spread misinformation or damage someone’s reputation.

200

What does “AGI” stand for?

Artificial General Intelligence.

200

How can AI help with climate change?

It models climate patterns and improves renewable energy use.

200

What is algorithmic bias?

When AI makes unfair decisions because it was trained on biased data.

200

True or false: AI is the same thing as a robot.

False — robots are machines; AI is the computer intelligence that may control them.

300

Name one sign a video might be a deepfake.

Unnatural blinking, strange shadows, mismatched lip movement.

300

What type of AI uses neural networks like ChatGPT?

Deep learning.

300

How does AI support students in education?

Personalized learning, translation, tutoring tools.

300

Name a group that AI bias can harm.

Minorities, women, people with disabilities.

300

What is machine learning?

When computers learn from data without being specifically programmed.

400

How can deepfakes influence politics?

By making fake videos of politicians that mislead voters.

400

Is AGI currently real?

No

400

What is one benefit of AI in transportation?

Improving road safety or assisting in self-driving cars.

400

Who should be responsible when AI makes a harmful mistake?

The people/companies who design and deploy the AI.

400

Give one everyday example of AI.

Siri, Google Maps, Netflix recommendations, etc.

500

What is one strategy for detecting deepfakes?

Use fact-checking tools, look for visual distortions, verify the source.

500

What is the main difference between machine learning and deep learning?

Deep learning uses multi-layer neural networks; ML uses simpler models.

500

How can AI support endangered animals?

By analyzing data to track and protect them.

500

Why is transparency important in AI?

So people understand decisions and can challenge unfair outcomes.

500

What is the key difference between AI and human intelligence?

Humans understand context and emotion; AI follows patterns in data.

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