Who changed a rule?

In the summer of 2020, a high school student in San Jose, California, started a campaign. A statewide ballot measure, Proposition 25, would have replaced cash bail with risk-assessment software. That is the kind of tool you studied in Module 3. Like other opponents, her group argued it would worsen racial inequality.

She and about 15 other teenage volunteers organized town halls, wrote opinion pieces, and ran calls and texts. In November 2020, California voters rejected Proposition 25.

The group kept going. Now called Encode, it helped back California’s SB 53 in 2025. A news report described Encode as one of the main drivers of a coalition of more than 20 groups.

That same August, students in England protested a grading algorithm that had lowered close to 40% of A-level grades. Within days, regulators dropped it.

Advocacy also comes from inside. In July 2026, employees of AI companies, including OpenAI, Anthropic, Google DeepMind, and Meta, published an open letter called “Pacing the Frontier.” They asked the US government to back an international effort to “deliberately pace the frontier.” By October, 1,386 had signed.

Nobody handed the students a seat at the table. They used tools anyone can use: writing, organizing, speaking, and building. That is advocacy (show definition): working to change a decision, a rule, or how people think about an issue.

This is the last module. You have spent five modules learning how AI works, who governs it, where it fails, and how to build it well. Now you decide what to do about it.