Fast.ai Practical Data Ethics series

Notes based on course lessons

Source

“This class was originally taught in-person at the University of San Francisco Data Institute in January-February 2020, for a diverse mix of working professionals from a range of backgrounds (as an evening certificate courses). There are no prerequisites for the course. This course is in no way intended to be exhaustive, but hopefully will provide useful context about how data misuse is impacting society, as well as practice in critical thinking skills and questions to ask.” (source)

Course syllabus could be found here.

This is list of lessons and my notes:

• Lesson 1: Disinformation. Video, notes
• Lesson 2: Bias & Fairness. Video, notes
• Lesson 3: Ethical Foundations & Practical Tools. Video, notes
• Lesson 4: Privacy and surveillance. Video, notes
• Lesson 4 (continued): Privacy and surveillance: towards solution. Video, notes
• Lesson 5.1: The problem with metrics. Video, notes
• Lesson 5.2: Our Ecosystem, Venture Capital, & Hypergrowth. Video, notes
• Lesson 5.3: Losing the Forest for the Trees. Video, notes
• Lesson 6: Algorithmic Colonialism, and Next Steps. Video, notes

Thank you fast.ai team for learning opportunity!