Chapter 1: Information Technology and Society · Term 1
Lesson 1-3 explained: AI in Daily Life and Industry
AI is good at finding and classifying patterns in data — recommendations, voice, translation, face recognition, and many industry tasks — but human judgment is still needed where ethics, privacy, and responsibility are involved.
Lesson summary
AI is used widely in daily life — in recommendation systems, voice assistants, machine translation, and face recognition — and in industry, across fields such as healthcare, agriculture, manufacturing, and logistics.
Takeaway: AI is good at finding and classifying patterns in data — recommendations, voice, translation, face recognition, and many industry tasks — but human judgment is still needed where ethics, privacy, and responsibility are involved.
Key terms
- Recommendation system
- Voice assistants
- Machine translation
- Face recognition
- Black-box problem
- Hallucination
Textbook page: Arabic book 18 · English book 19
Free questions on this lesson
From the textbook question bank. Think of the answer first, then open it.
1. A face-recognition system refused someone entry, and no one could tell how the system reached that judgment. Which problem does this show?
- Hallucination
- Probabilistic reasoning
- The black-box problem
- Predictive maintenance
Answer
Correct answer: The black-box problem
Black box = it is unclear how the AI reached its judgment; hallucination is an output that differs from the facts.
Compare: hallucination and the black-box problem · page 21
2. Which AI use belongs to agriculture?
- Drug-discovery support
- Predicting harvest timing
- Optimizing delivery routes
- Automating quality inspection
Answer
Correct answer: Predicting harvest timing
Agriculture: predicting harvest timing and detecting pests and diseases.
2. Use of AI in Industry · page 21
3. Which issue arises when copyrighted works are used as training data?
- Leakage current
- Quantum tunneling
- Internet speed
- Issues of rights
Answer
Correct answer: Issues of rights
Using copyrighted works as training data raises issues of rights.
3. (2) What requires caution when using AI · page 21
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Lessons in this chapter 1: Information Technology and Society
- 1-1 Development of Information Technology and Social Transformation
- 1-2 How AI Works
- 1-3 AI in Daily Life and Industry
- 1-4 Ethical Issues with AI