Week | Date | Lecture Topics | Location | Assigned | Due (1:00 pm on the given day) |
---|---|---|---|---|---|
1 |
Apr 1
Apr 3 |
Introduction [slides]
|
380-380X | HW 1 release (Apr 3) | |
2 | Apr 8 Apr 10 |
Calibration & Fairness [slides-a], Learning Group "Fair Models" [slides-a] |
380-380X | Exploratory project release (Apr 10) | |
3 | Apr 15 Apr 17 |
Fair Models via Constrained Optimization [slides-a], Individual Fairness [slides-a] |
380-380X
|
HW 1 (Apr 17) | |
4 | Apr 22 Apr 24 |
Fairness Socio-Technical Analysis
Bias in NLP [slides-a], Fairness and Causality [slides-a] |
380-380X |
|
Socio-tech summary (Apr 24) |
5 | Apr 29 May 1 |
Guest Lecture by
Bo Li
Explainability and Transparency [slides-a], Feature Attribution and LIME [slides-a] |
380-380X | Final project proposal (May 3) |
|
6 | May 6 May 8 |
Shapley Values & SHAP [slides-a], Saliency Maps [slides-a], Exemplar-Based Explanations [slides-a]
Explainability Socio-Technical Analysis |
380-380X | ||
7 |
May 15 |
Concept-Based Explanations [slides-a], Counterfactual Explanations [slides]
Privacy and ML [slides], Differential Privacy [slides-a] |
|
HW 3 release (May 15) |
Socio-tech summary (May 15) |
8 | May 20 May 22 |
Differential Privacy -- continued
Learning with Differential privacy, Federated Learning [slides-a] |
380-380X | Final project milestone (May 22) | |
9 | May 27 May 29 |
Memorial Day -- No class
Large Language Models and the Ethics of AI: Impact, Gaps and Opportunities [slides] |
|
| |
10 | June 3 June 5 |
Privacy Socio-Technical Analysis
Closing Discussion -- Trust in AI |
380-380X |
|
|
Poster session on June 6, 2:00 pm - 4:00 pm. AT&T Patio, Gates Building. | |||||
Project final report due June 10, 1:00 pm. |