AI Basics

What does AI stand for?

• Analog Interface

• Advanced Integration

• Automated Inference

• Artificial Intelligence

Which programming language is commonly used in AI development?

• C++

• Python

• Java

• Ruby

What is the purpose of machine learning in AI?

• To decrease the efficiency of machines

• To enable machines to learn from data and improve their performance on a task without being explicitly programmed.

• To confuse machines with irrelevant data

• To make machines more expensive

What is the difference between narrow AI and general AI?

• General AI is only used in specific industries

• Narrow AI is more advanced than general AI

• Narrow AI can handle a wide range of tasks

• Narrow AI is task-specific, while general AI is versatile and can handle various tasks.

How does natural language processing benefit AI?

• Natural language processing benefits AI by teaching it to cook recipes

• Natural language processing benefits AI by helping it play musical instruments

• Natural language processing benefits AI by enabling it to predict the weather accurately

• Natural language processing helps AI understand and process human language, enabling various applications and functionalities.

What are the ethical concerns surrounding AI?

• Over-reliance on AI

• Bias, privacy violations, job displacement, lack of transparency, accountability, potential misuse

• Lack of innovation

• Invasion of personal space

Explain the concept of neural networks in AI.

• Neural networks in AI are algorithms inspired by the human brain's structure, consisting of interconnected nodes that process information and learn patterns to make predictions or decisions.

• Neural networks in AI are physical networks of wires and cables.

• Neural networks in AI are static structures that do not adapt or learn.

• Neural networks in AI are based on the principles of quantum mechanics.

What role does data play in training AI models?

• Data only confuses AI models

• Data is not needed for AI models

• Data provides the input information that AI models use to learn and make predictions.

• AI models can function without data

How can AI be used in healthcare?

• AI can be used in healthcare for predicting lottery numbers

• AI can be used in healthcare for creating gourmet recipes

• AI can be used in healthcare for tasks like medical image analysis, personalized treatment plans, drug discovery, patient monitoring, and administrative workflow optimization.

• AI can be used in healthcare for designing fashion collections

Discuss the potential impact of AI on the job market.

• AI will completely replace all human jobs

• AI will have no impact on the job market

• AI will only create low-skilled job opportunities

• AI can automate routine tasks, leading to job displacement in some industries while creating new job opportunities in AI development, maintenance, and oversight.