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Practical Data Ethics
The part most courses skip entirely.
fast.ai's ethics course covers the part most technical curricula skip: what happens when the system you built meets the world. Disinformation, bias, privacy and the ways an algorithm quietly makes a decision nobody signed off.
with fast.ai
Listed by AI Review Rating. We are not affiliated with fast.ai and earn nothing from this link.
Course overview
It is practical rather than philosophical. The cases are real, recent, and chosen because engineers made specific choices that led to them.
What you will learn
- Recognise how bias enters a dataset and a model, and what can be done about it
- Understand disinformation as a systems problem rather than a content problem
- Apply a practical framework for privacy and surveillance questions
- Ask the questions that catch a harmful design before it ships
Who this course is for
Working data scientists
you make these calls whether or not you name them
Team leads
the vocabulary for a conversation you need to have
Course details
FormatRecorded lectures with readings
LevelIntermediate
PriceFree
Time12 hours
CertificateNo certificate
About fast.ai
fast.ai is a research group and course publisher founded by Jeremy Howard and Rachel Thomas. Its courses are free with no signup wall and teach top-down: you train a working model first and learn the theory underneath afterwards.
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