Introduction to Artificial Intelligence
Artificial Intelligence (AI) is the ability of a computer or machine to perform tasks that normally require human intelligence. These tasks include understanding language, recognizing images, making decisions, and learning from experience.
Think of AI as teaching a computer to think — not by programming every single rule, but by showing it lots of examples so it figures out the patterns itself.
• AI is not magic — it's math and data working together
• AI systems learn from examples, just like humans learn from experience
• AI can be narrow (good at one thing) or general (good at many things)
• Most AI today is narrow AI — designed for specific tasks
• Netflix recommending what to watch next
• Google autocompleting your searches
• Face unlock on your phone
• Spam filters in your email
1. What is the best definition of AI?
2. Which is an example of AI you use daily?
3. Most AI systems today are:
AI didn't start with ChatGPT. The idea goes back to 1950 when mathematician Alan Turing asked: "Can machines think?" He invented the Turing Test — a way to measure if a machine could hold a conversation indistinguishable from a human.
• 1950 — Alan Turing proposes the Turing Test
• 1956 — The term "Artificial Intelligence" is coined at Dartmouth College
• 1997 — IBM Deep Blue defeats world chess champion Garry Kasparov
• 2011 — IBM Watson wins Jeopardy!
• 2022 — ChatGPT reaches 100 million users in 2 months
AI didn't grow in a straight line. There were periods called "AI winters" where funding dried up and progress slowed — because expectations were too high and computers weren't powerful enough yet.
1. Who proposed the Turing Test in 1950?
2. What are "AI winters"?
3. Which milestone happened in 1997?
• Narrow AI (ANI) — Designed for one specific task. ALL the AI we have today.
• General AI (AGI) — Can perform any intellectual task a human can. Does not exist yet.
• Superintelligence (ASI) — Smarter than the best human in every field. Theoretical only.
• Supervised Learning — Learns from labelled examples
• Unsupervised Learning — Finds patterns in unlabelled data
• Reinforcement Learning — Learns by trial and error with rewards
1. Which type of AI exists TODAY?
2. An AI learning by trial and error with rewards uses:
3. ChatGPT can write text but cannot drive a car. This shows it is: