Introduction to Artificial Intelligence

What does AI stand for?

• Automated Integration

• Artificial Invention

• Advanced Interaction

• Artificial Intelligence

Name one application of AI in everyday life.

• Online shopping platforms

• Social media algorithms

• Virtual assistants (e.g., Siri, Google Assistant)

• Video streaming recommendations

What is the difference between narrow AI and general AI?

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

• Narrow AI is designed for human-like reasoning, whereas General AI is focused on data processing.

• Narrow AI and General AI are essentially the same, with no significant differences.

• Narrow AI focuses on specific tasks, while General AI aims for human-like intelligence across various tasks.

What is machine learning in the context of AI?

• Machine learning refers to the manual programming of AI algorithms.

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

• Machine learning is a philosophy that rejects the use of data in AI.

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

Can AI systems learn from data? If yes, how?

• AI systems cannot learn from data at all.

• AI systems only learn from human input, not data.

• AI systems learn by memorizing all the data without analysis.

• Yes, AI systems can learn from data by analyzing patterns and adjusting their algorithms during training.

What are some ethical concerns related to AI?

• Efficiency, transparency, user satisfaction, innovation

• Speed, scalability, user engagement, market growth

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

• Cost reduction, data storage, algorithm complexity

How does natural language processing relate to AI?

• Natural Language Processing is a programming language used for AI development.

• Natural Language Processing is a subfield of AI that enables machines to understand and interact using human language.

• Natural Language Processing is a hardware component that enhances AI performance.

• Natural Language Processing is unrelated to AI and focuses solely on data analysis.

What role does data play in the development of AI systems?

• Data is irrelevant to the development of AI systems.

• Data has no impact on AI performance.

• Data is only used for storage in AI systems.

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