Intro to AI Quiz

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Basics of AI concepts

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Shse Sesa

United Arab Emirates

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Intro to AI Quiz


Intro to AI QuizVersion en ligne Basics of AI concepts par Shse Sesa 1 What does AI stand for in computing? a Automated Interaction b Artificial Intelligence c Adaptive Inference d Applied Innovation 2 Which of these is a key goal of AI? a Eliminating data b Replacing humans c Simulating intelligent behavior d Increasing hardware costs 3 Which field studies how to create machines that learn from data? a Human-Computer Interaction b Computer Networking c Database Administration d Machine Learning 4 What is a common type of AI that imitates human decision making? a Super AI b Post-AI c Narrow AI d General AI 5 Which technology is often used to train AI models? a Floppy disks b Manual rule-writing c Single-use hardware d Large datasets and optimization algorithms 6 What is the difference between AI and machine learning? a AI is broader; ML is a subset of AI b They are identical c AI only uses rules, ML only uses data d ML is broader; AI is a subset of ML 7 Which area focuses on making AI systems explainable? a Binary AI b Explainable AI (XAI) c Silent AI d Hidden AI 8 Which of the following is NOT typically considered an AI approach? a Evolutionary algorithms b Neural networks c Decision trees d Manual coding of all rules with no data 9 What is a typical measure of AI performance on a task? a Screen resolution b Accuracy or success rate c Printer speed d Color quality 10 Which of these is a major ethical consideration in AI? a Bias in data and models b Loudness of outputs c Color of UI d Brand logos in code

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Intro to AI Quiz

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À propos de cette activité

Créé par

Téléchargez la version pour jouer sur papier

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Intro to AI QuizVersion en ligne

par Shse Sesa

What does AI stand for in computing?

Which of these is a key goal of AI?

Which field studies how to create machines that learn from data?

What is a common type of AI that imitates human decision making?

Which technology is often used to train AI models?

What is the difference between AI and machine learning?

Which area focuses on making AI systems explainable?

Which of the following is NOT typically considered an AI approach?

What is a typical measure of AI performance on a task?

Which of these is a major ethical consideration in AI?