Module 2: Types of AI and Their Applications
Introduction
AI systems come in many forms, and they are designed for a variety of tasks. Understanding the different types of AI will help you recognize how these technologies are integrated into your daily life.
Artificial intelligence isn’t a one-size-fits-all concept. There are many categories of AI, each with specific strengths and uses. From everyday conveniences like chatbots answering customer queries, to complex systems predicting weather patterns or detecting fraud, AI has permeated nearly every industry.
Knowing the different types of AI systems allows you to better understand their capabilities and limitations, helping you make informed choices about how you engage with these technologies.
Exploring Types of AI:
Let’s explore the main categories of AI and their real-world uses:
- Narrow AI: Also known as “weak AI,” this type of AI is specialized in performing a specific task. For example, voice assistants like Siri or Alexa are programmed to answer questions and set reminders but cannot do tasks outside their scope.
- General AI: This is a theoretical form of AI that can perform any intellectual task a human can do. While we have not yet developed true general AI, it remains a goal for future research.
- Reactive Machines: These AI systems respond to specific inputs with predetermined outputs. They do not learn or adapt but are effective for tasks like game-playing (e.g., chess computers).
- AI in Everyday Life: AI powers recommendation engines (like Netflix or Spotify), navigation apps (Google Maps), fraud detection systems in banking, and even spam filters in your email inbox.
Reflection:
- What types of AI have you interacted with today?
- How do you feel about AI systems making decisions in areas like finance, healthcare, or education?