Data Ethics and Bias

Start here (free video course): fast.ai, "Practical Data Ethics" → https://ethics.fast.ai/

Goal: Learn how bias enters a dataset and a model, from consent and provenance to representational versus measurement bias, so you can spot and defend against the data problems that get AI products pulled from production.

Do:

1. Work through the Bias and Fairness lesson and the Ethical Foundations lesson ⬆️

2. Note the difference between representational bias and measurement bias (this is on the exam)