Frequently Asked Questions (FAQs) About Artificial Intelligence

Q1: What is the difference between AI, machine learning, and deep learning?

AI is a broad field aiming to create intelligent machines. Machine learning is a subset focusing on algorithms that learn from data, and deep learning is a subset of ML involving neural networks with multiple layers.

Q2: How long does it take to develop an AI system?

Development time varies based on complexity, data availability, and goals. Simple models can be built in days, while advanced systems may take months or years.

Q3: What skills are needed to work in AI?

Proficiency in programming (Python preferred), understanding of algorithms, mathematics (statistics and linear algebra), and knowledge of ML frameworks.

Q4: Is AI safe and controllable?

Safety depends on design, testing, and ethical considerations. Research emphasizes explainability and transparency to ensure controllability.

Q5: Can AI replace humans?

AI automates specific tasks but does not replicate human consciousness or general intelligence. It enhances productivity but is unlikely to replace humans entirely.

Understanding these fundamentals helps set realistic expectations and guides responsible AI adoption.