Thu, Oct 8
Module 3. A Toolkit for Understanding AI in Society
How Do Predictions Become Decisions?
Scores, thresholds, classifications, error, and accountability.
Topic / Focus
Today asks how predictions become decisions: scores, thresholds, classifications, error, and accountability, and who bears the cost when a threshold is set in the wrong place.
Format: Full class · Lesson template: Concept + Lab
Guiding Questions
- How does a threshold turn a continuous score into a consequential decision?
- Who bears the cost when a threshold produces a false positive or false negative?
- What does procedural justice ask of a system that makes threshold decisions?
In This Class
In this meeting, we will:
- walk through threshold cases: blood pressure, FICO cutoffs, the Allegheny Family Screening Tool, face-recognition matching
- connect thresholds making uncertainty consequential to procedural justice
- discuss who bears the cost of error in each case