Class X- AI (Annual)

What ethical concern arises from biased AI algorithms?

• Increased efficiency in data processing.

• Enhanced user privacy and security.

• Improved accuracy in predictions.

• Discrimination and inequality in decision-making.

What is the significance of the confusion matrix in evaluating models?

• It provides a graphical representation of data distributions.

• The confusion matrix is significant as it helps evaluate the performance of classification models by providing insights into true and false classifications.

• It measures the accuracy of regression models.

• It is used to calculate the mean squared error of predictions.

How can AI impact job markets and employment?

• AI will eliminate all jobs without creating any new ones.

• AI can lead to job displacement but also create new opportunities, impacting job markets significantly.

• AI has no effect on job markets or employment.

• AI will only create low-skilled jobs, leaving high-skilled jobs untouched.

What is the importance of data visualization in data science?

• Data visualization is not relevant in data science

• Data visualization helps in presenting data in a clear and understandable way

• Data visualization is only used for entertainment purposes

• Data visualization is a separate field unrelated to data science

How many channels does a colour image have?

• 255

• 256

• 3

• 5

Face Lock in Smartphones is an example of ________________

• NLP

• Computer Vision

• ML - Data science

How does natural language processing (NLP) enhance user experience in applications?

• By automating data entry tasks.

• By enabling machines to understand and respond to human language.

• By providing graphical data representations.

• By improving the speed of data processing.

Which of the following is a common application of computer vision?

• Speech recognition.

• Text summarization.

• Image classification.

• Data entry automation.

Which of the following is a common programming language used in data science?

• Python

• JavaScript

• HTML

• CSS

What is the primary purpose of machine learning?

• To create static algorithms that do not change

• To perform calculations faster than traditional methods

• To enable computers to learn from data and improve over time

• To replace all human decision-making processes