Schedule (Tentative)

Week

Topic

Assignment

Readings

Week 1: 9/5 & 9/8

What is AI?

Agents

Homework 1 (due 9/11)

Jordan (2019)

Reference: Russell & Norvig Chapter 2

Week 2: 9/12 & 9/15

Search

Uninformed search

Homework 2 (due 9/18)

YLLATAILY Chapters 1-2

Reference: Russell & Norvig Chapter 3

Week 3: 9/19 & 9/22

Informed search

Adversarial search

Homework 3 (due 9/25)

Mitchell Chapter 8-9

Reference: Russell & Norvig Chapter 5
Reference: Minimax recap

Week 4: 9/26 & 9/29

Markov Decision Processes

Reinforcement learning

Homework 4 (due 10/2)

YLLATAILY Chapter 5-6

Reference: RL recap
Reference: Flip side of RL

Week 5: 10/3 & 10/6

Regression

Homework 5 (due 10/09)

YLLATAILY Chapter 3-4

Reference: Jurafsky & Martin Chapter 5
Reference: Regression in more depth

Week 6: 10/13

AI milestones

Week 7: 10/17 & 10/20

Gradient Descent

Midterm (10/17)

Homework 6 (due 10/30)

YLLATAILY Chapter 7-8

Reference: Jurafsky & Martin Chapter 7
Reference: Gradient descent video

Week 8: 10/24 & 10/27

Neural networks

Homework 7 (due 11/6)

YLLATAILY Chapter 9-10

Reference: Jurafsky & Martin Chapter 7

Week 9: 10/31 & 11/3

Language models

Homework 8 (due 11/13)

Chiang (2023)

Reference: Jurafsky & Martin Chapter 9

Week 10: 11/7 & 11/10

Attention

Computer Vision models

Homework 9 (due 11/20)

The Illustrated Stable Diffusion blog post

Reference: Jurafsky & Martin Chapter 10
Reference: Stable Diffusion paper

Week 11: 11/17

Transformers

Reference: Jurafsky & Martin Chapter 11
Reference: GPT-2 blog post
Reference: Overview of transfer learning

Week 12: 11/21

Bias probe tasks

Final project description

Blodgett et al. (2021)

(warning: includes offensive language)

Week 13: 11/28 & 12/1

AI Ethics

Homework 10 (due 12/4)

Hooker (2021)

Reference: Arvind Narayanan's talk on 21 definitions of fairness

Week 14: 12/5 & 12/8

AI Ethics

AI of the future

Birhane (2021)

Raji (2021)

Baria & Cross (2021)

Reference: Liao, Taori, Raji, & Schmidt (2021)

Week 15: 12/12

Project presentations