What is Artificial Intelligence (AI)?

Artificial Intelligence is the broader field of computer science focused on building machines and systems that can mimic human intelligence. This includes tasks like:

• Understanding language
• Recognizing images
• Solving problems
• Making decisions

Example Use Cases:

• Virtual assistants like Siri, Alexa, and Google Assistant
• Smart home devices
• Facial recognition in security systems
• Recommendation engines on Netflix or YouTube

AI acts as the umbrella concept — under which Machine Learning and Deep Learning fall.

What is Machine Learning (ML)?

Machine Learning is a subfield of AI where machines learn patterns from data instead of being manually programmed. Instead of writing rule-based code, we feed the system lots of data — and the model “learns” to predict or classify.

Real-World Applications:

• Email spam filtering
• Stock price prediction
• Credit card fraud detection
• Product recommendations (Amazon, Spotify)

ML helps computers improve over time — the more data it sees, the better it gets.

What is Generative AI?

Generative AI is a type of AI that can create new content — text, images, music, code — based on training data. It’s powered by Large Language Models (LLMs) and deep learning techniques.

Popular Tools:

• ChatGPT – generates human-like text
• GitHub Copilot – writes code using natural language prompts
• DALL·E / Midjourney – creates realistic images from text

Generative AI isn’t just a tool — it’s a creative partner in writing, design, software development, and beyond.

Why Ethics Matter in AI

As powerful as AI is, it comes with responsibilities. Key concerns include:

• Bias in AI models
• Privacy & data protection
• AI-generated misinformation
• Regulation and governance

Understanding ethical AI is crucial for developers, businesses, and users alike.

Key Takeaways