
Exploring the World of AI
Authored by Ranjeet Singh
Information Technology (IT)
6th Grade

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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one way AI is used in everyday life?
AI in medical imaging
Self-driving cars
AI for stock market predictions
Virtual assistants like Siri or Google Assistant.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can AI help with homework or studying?
AI can replace teachers in the classroom completely.
AI can help with homework or studying by providing personalized assistance, answering questions, and generating practice materials.
AI can only provide entertainment and not educational support.
AI can do your homework for you without any input.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which feature in smartphones utilizes artificial intelligence to enhance user experience?
Smartphone games
Photo storage services
Facial recognition technology
Text messaging apps
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does AI stand for?
Advanced Interaction
Automated Integration
Artificial Intelligence
Artificial Invention
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between narrow AI and general AI?
Narrow AI is more advanced than General AI in all aspects.
Narrow AI can perform any task, while General AI is limited to specific tasks.
Narrow AI specializes in specific tasks, while General AI can perform any intellectual task that a human can do.
Narrow AI and General AI are the same and can be used interchangeably.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to consider ethics (moral values, human thinking) in AI development?
It is important to ensure fairness, accountability, and transparency in AI systems.
To maximize profits for tech companies.
To reduce the cost of AI development.
To eliminate all human involvement in decision-making.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a recent project, Avni's team decided to use AI to help with hiring decisions. What is a potential risk of using AI in decision-making?
Increased efficiency in decision-making.
Bias(unfairness) in algorithms leading to unfair outcomes.
Improved accuracy in predictions.
Enhanced transparency in processes.
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