Understanding AI and Machine Learning

What is the primary characteristic of Narrow AI?

• It can perform any intellectual task that a human can.

• It is designed to perform a specific task.

• It can improve itself without human intervention.

• It has consciousness and self-awareness.

Which of the following is an example of Supervised Learning?

• Clustering

• Regression

• Association

• Dimensionality Reduction

In Unsupervised Learning, which technique is used to group similar data points together?

• Classification

• Clustering

• Regression

• Reinforcement

Which of the following is a common application of AI in healthcare?

• Predicting stock market trends

• Diagnosing diseases

• Managing social media accounts

• Designing video games

What is a potential ethical concern in AI?

• Increased computational power

• Data privacy

• Faster processing speeds

• Improved accuracy

Which type of AI is capable of performing any intellectual task that a human can do?

• Narrow AI

• General AI

• Supervised AI

• Unsupervised AI

In Supervised Learning, what is the term for the data used to train the model?

• Test data

• Validation data

• Training data

• Raw data

Which of the following is NOT a type of Unsupervised Learning?

• Clustering

• Dimensionality Reduction

• Classification

• Association

Which of the following is an application of AI in transportation?

• Automated customer service

• Autonomous vehicles

• Online shopping recommendations

• Virtual reality gaming

What is a common ethical issue related to AI decision-making?

• Increased efficiency

• Bias in algorithms

• Enhanced creativity

• Faster data processing