Bias, Privacy, and Model Cards for Vision
By the end of this module you can identify where bias enters a vision pipeline, decide what should never be inferred from a face or body, and write a model card that a reviewer can hold you to.
Units
- Unit 11.00: Where a vision dataset's bias comes from
- Unit 11.01: Measuring performance per group
- Unit 11.02: Faces, consent and the uses you did not intend
- Unit 11.03: The model card a reviewer can challenge
- Unit 11.04: Deciding what this model must never be used for
