Module 1: Types of AI
Mandatory Watching - videos with quizzes - finish before meeting at 11 am, Tuesday, June 23
- 1.1 — Lecture: Intro to the Class, 23 minutes (uploaded March 26, 2026)
- 1.2 — Lecture: Kinds of AI, 47 minutes (uploaded March 27, 2026)
- 1.3 — Crash Course AI: What is Artificial Intelligence?, 13 minutes (uploaded Aug. 9, 2019)
- 1.4 — Vox: We’re Already Using AI More Than We Realize, 6 minutes (uploaded Feb. 28, 2024)
- 1.5 — Fei-Fei Li: With Spatial Intelligence, AI Will Understand the Real World, 15 minutes (uploaded May 16, 2024)
Written assignment - do by end of Tuesday, June 23, review three others before meeting on Thursday, June 25
Follow the instructions to have a conversation with ChatGPT about something you know well and have strong opinions about. Push it until it starts making big mistakes, or gets confused.
Further reading/watching
- Wired, Professor (Graham Morehead) Answers AI Questions, 23 minutes (March 25, 2025) - he discusses a remarkably similar set of issues to the ones I’m covering throughout the whole quarter, so this might be a good sneak peek! (Though I disagree with him about consciousness)
- Stanford Encyclopedia of Philosophy - Artificial Intelligence (July 12, 2018). This is a very long and detailed article that will likely take longer than this whole class to go through! Ask me about any of it.
- Philosophers Daniel Dennett and Hubert Dreyfus on PBS after Garry Kasparov’s loss to Deep Blue in 1997 (13 minutes) - they argue about whether embodiment and being neural are important for intelligence
- Don Woodlock: Different Types of AI, 8 minutes (Jan. 11, 2024)
- Michael Wooldridge - What is Artificial Intelligence?, 10 minutes (Dec. 3, 2023) - video introduction to his Christmas Lecture
- IT Convergence - Top Use Cases of AI-based recommendation systems. (March 8, 2023), text - Brief blogpost describing some possible uses
- Mateo Ciocarlei - Embodied Intelligence, 4 minutes (Sep. 2, 2022) - more discussion of embodied intelligence
- Razor Science Show, Biocomputers made from human brain cells could run the AI systems of the future, 19 minutes (Dec. 28, 2024)
- Overviews of current (March 2026) AI models:
- Matthew Berman - discusses text-generation, image generation, coding, speech/sound/music generation, video generation, and “world generation”, as well as open-source models
- Tina Huang - mostly focuses on chatbots, but discusses the different levels of model within each company - flagship, lite, and medium, as well as some discussion of open-source