Understanding Artificial Intelligence

What is the full form of AI?

• Advanced Interaction

• Artificial Intelligence

• Artificial Insight

• Automated Integration

What are the main types of AI?

• Weak AI, Strong AI, Quantum AI

• Artificial Intelligence, Machine Learning, Deep Learning

• Narrow AI, General AI, Superintelligent AI

• Reactive AI, Limited AI, Advanced AI

Name a popular programming language used in AI.

• Python

• CSS

• Java

• HTML

What is machine learning in the context of AI?

• Machine learning is a method for storing large amounts of data.

• Machine learning is a programming language for AI development.

• Machine learning is a type of hardware used in AI systems.

• Machine learning is a subset of AI that enables systems to learn from data and improve their performance over time.

What is the Turing Test?

• A test to measure a human's intelligence

• A method for programming computers

• An evaluation of a robot's physical strength

• The Turing Test is a measure of a machine's ability to exhibit human-like intelligence.

Can AI systems learn from data? Explain.

• Yes, AI systems can learn from data.

• AI systems only learn from human feedback.

• AI systems cannot process data at all.

• AI systems are limited to pre-programmed responses.

What is the difference between narrow AI and general AI?

• Narrow AI is task-specific, while General AI is capable of general cognitive functions.

• Narrow AI can perform any task, while General AI is limited to specific functions.

• Narrow AI is more advanced than General AI in terms of cognitive abilities.

• General AI is designed for a single task, whereas Narrow AI can learn multiple tasks.

What role does data play in AI development?

• Data is crucial for training, validating, and testing AI models.

• Data is irrelevant to AI algorithms.

• Data is only used for storage purposes.

• Data has no impact on AI performance.

What are some ethical concerns related to AI?

• Cost reduction, increased productivity, data visualization

• Efficiency, transparency, user engagement

• Data storage, algorithm complexity, user satisfaction

• Bias, privacy, job displacement, accountability, misuse.

How is AI impacting various industries today?

• AI is impacting various industries by automating tasks, enhancing decision-making, and improving customer experiences.

• AI is primarily focused on entertainment and gaming.

• AI has no effect on customer service.

• AI is only used in the tech industry.