Explain the term 'overfitting' in the context of AI model evaluation.

Overfitting degrades model performance.

• Models memorize training data.

• Includes noise and outliers.

• Fails on unseen data.

True or False: The Learning-Based Approach in AI does not require any data to adapt and improve its performance.

False. The Learning-Based Approach requires data to learn and adapt its algorithms.

What role does the Receiver Operating Characteristic (ROC) curve play in evaluating AI models?

The ROC curve evaluates model accuracy.

• Visualizes model performance trade-offs.

• Indicates sensitivity vs. specificity balance.

• Guides optimal threshold selection.

Describe the term 'True Positive' in the context of AI model predictions.

True Positive signifies correct predictions.

• Indicates accurate model outcomes.

• Essential for model evaluation.

• Helps improve AI accuracy.

True or False: AI systems should prioritize data security and user privacy at all times.

True. AI systems must implement measures to protect personal data and ensure user privacy.

Explain how AI can assist in detecting Diabetic Retinopathy.

AI aids in Diabetic Retinopathy detection.

• Analyzes eye images effectively.

• Identifies early signs accurately.

• Facilitates timely treatment options.

Fill in the blank: To avoid bias in AI, it is essential to ensure that the training data is ___ and represents all sections of the population.

Diverse