Lesson 9.1
Algorithmic Bias
A system trained on or built around historical data reproduces the patterns in that data, including its inequities. The bias is in the data and the framing, not in the arithmetic.
Lessons and exercises
The consequences of the systems built in the other nine units. It is assessed with the same rigour as the technical material and rewards specific, traceable reasoning rather than general opinion.
Lesson 9.2
Privacy and Data Collection
Collecting data creates obligations. The relevant questions are what is collected, why it is necessary, who can see it, and how long it is kept.
Lesson 9.3
Accessibility and Inclusion
A system that cannot be used by part of its intended audience has failed for that audience regardless of its technical quality.
Lesson 9.4
Responsibility and Trade-offs
Engineering decisions distribute benefit and harm unevenly, and the reasoning is what is assessed rather than the conclusion.
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