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EVOLVAI

Total questions: 20

Worksheet time: 4mins

Name
Class
Date
1.

What is the primary difference between human intelligence and artificial intelligence?

a)

Human intelligence is based on emotions, while AI is purely logical.

b)

Human intelligence is limited, while AI has unlimited potential.

c)

Human intelligence is biological, while AI is created by humans.

d)

Human intelligence is conscious, while AI is not.

2.

Which of the following is an example of narrow AI?

a)

Self-driving cars

b)

Virtual assistants like Siri or Alexa

c)

Deep Blue

d)

General-purpose robots

3.

What is the term used to describe AI systems that can learn and improve from experience without being explicitly programmed?

a)

Machine learning

b)

Deep learning

c)

Reinforcement learning

d)

Artificial neural networks

4.

Which of the following is a potential disadvantage of AI in the workplace?

a)

Increased productivity and efficiency

b)

Job displacement and unemployment

c)

Improved decision-making and accuracy

d)

Enhanced creativity and innovation

5.

What is the Turing Test?

a)

A test to determine if a machine can exhibit intelligent behaviour indistinguishable from that of a human.

b)

A test to measure the processing speed of AI systems.

c)

A test to evaluate the accuracy of AI predictions.

d)

A test to assess the ethical implications of AI.

6.

Which of the following is an example of AI in healthcare?

a)

Robotic surgery

b)

Online medical consultations

c)

Disease diagnosis using machine learning algorithms

d)

All of the above

7.

What is the concept of "singularity" in the context of AI?

a)

The point at which AI surpasses human intelligence.

b)

The ability of AI to understand and replicate human emotions.

c)

The integration of AI into every aspect of human life.

d)

The ethical considerations surrounding AI development.

8.

Which AI approach relies on trial and error to improve decision-making and learn optimal strategies?

a)

Genetic algorithms

b)

Reinforcement learning

c)

Supervised learning

d)

Unsupervised learning

9.

What is the term used to describe AI systems that can understand and generate human language?

a)

Natural language processing

b)

Speech recognition

c)

Sentiment analysis

d)

Image recognition

10.

Which company developed the open-source AI platform known as TensorFlow?

a)

IBM

b)

Microsoft

c)

Google

d)

Facebook

11.

What is the term used to describe AI systems that can perceive and understand visual information?

a)

Computer vision

b)

Object recognition

c)

Image processing

d)

Pattern recognition

12.

What is the term for a scenario where AI algorithms unintentionally reflect the biases present in their training data?

a)

Algorithmic fairness

b)

Bias amplification

c)

Data drift

d)

Overfitting

13.

What is the term used to describe AI systems that can make decisions and take actions based on their analysis of data?

a)

Cognitive computing

b)

Reinforcement learning

c)

Decision trees

d)

Expert systems

14.

In which industry have AI-driven chatbots become common for customer service and support?

a)

Retail

b)

Aviation

c)

Energy

d)

Automotive

15.

What is the term used to describe AI systems that can understand and respond to human emotions?

a)

Emotional intelligence

b)

Affective computing

c)

Sentiment analysis

d)

Emotion recognition

16.

Which ethical concern arises when AI systems replace human jobs, leading to unemployment?

a)

Bias

b)

Automation anxiety

c)

Data privacy

d)

Algorithmic fairness

17.

What is the term used to describe AI systems that can adapt and learn from new data in real-time?

a)

Online learning

b)

Unsupervised learning

c)

Transfer learning

d)

Reinforcement learning

18.

What is the name of the computer program that demonstrated the first successful example of natural language processing in 1966?

a)

ELIZA

b)

Siri

c)

ChatGPT

d)

Watson

19.

What is the term used to describe AI systems that can understand and interpret human speech?

a)

Speech recognition

b)

Natural language processing

c)

Voice assistants

d)

Speech synthesis

20.

In AI, what is the main goal of unsupervised learning?

a)

Predicting outcomes

b)

Labeling data

c)

Discovering patterns and relationships

d)

Imitating human decision-making