Topic / Focus

This unit’s toolkit opens by asking how the world becomes data: classification, measurement, representation, and proxies, and why that makes AI a sociotechnical rather than purely technical system.

Format: Full class · Lesson template: Concept + Lab

Guiding Questions

• How does classification and measurement turn the world into data?
• What gets built into data, models, and systems through baseline and category choices?
• Why is AI best understood as a sociotechnical system?

In This Class

In this meeting, we will:

• trace how classification and measurement produce data, not simply record it
• discuss features as value choices and baselines/categories as deployment patterns
• connect data production to the sociotechnical-systems framing