MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Total watch time
1h 17m
at 1× speed · exactly 1 hour, 16 minutes, 43 seconds at 1×
| 1× | 1h 16m 43s |
|---|---|
| 1.25× | 1h 1m 22s |
| 1.5× | 51m 9s |
| 1.75× | 43m 50s |
| 2× | 38m 22s |
Plan to finish
About 2 days at an hour a day
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Videos (9)
1h 17m in total · tick what you've watched
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| Watched | ||||
|---|---|---|---|---|
| 1 |
 Introduction to Ethics in Machine Learning
|
1:52 | 2020-10-01 | |
| 2 |
 Exploring Fairness in Machine Learning: Background
|
5:15 | 2020-10-01 | |
| 3 |
 USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
|
9:01 | 2020-10-01 | |
| 4 |
 Solar Lighting Example, Exploring Fairness in Machine Learning
|
6:20 | 2020-10-01 | |
| 5 |
 Fairness Criteria, Exploring Fairness in Machine Learning
|
7:07 | 2020-10-01 | |
| 6 |
 Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
|
6:18 | 2020-10-01 | |
| 7 |
 Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset
|
22:16 | 2020-10-01 | |
| 8 |
 Pulmonary Health Case Study: Bias Exploration, Exploring Fairness in Machine Learning
|
5:31 | 2020-10-01 | |
| 9 |
 Case Study: Identifying and Mitigating Unintended Demographic Bias in Machine Learning for NLP
|
13:03 | 2020-10-01 |
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