From Data to Decision: AI, Surveillance, and Human Responsibility
Students step into an Interactive AI surveillance simulator to explore bias, privacy, and human oversight in this engaging unit!
- Teachers
- Curriculum & Resources
- From Data to Decision: AI, Surveillance, and Human Responsibility
Age:
Approximate Total Time: 2 hours or periods
Summary:
From Data to Decision: AI, Surveillance, and Human Responsibility invites students to explore how AI systems collect data, generate predictions, and influence real-world decisions. Through a fictional case study set in Verysafeland Airport, students examine facial recognition, suspect scores, and biometric data to decide whether an AI prediction should be trusted. Along the way, they distinguish between prediction and decision, analyze how bias can emerge, and design human safeguards to reduce harm.
Lessons:
Lesson 1: Privacy and Surveillance-In this lesson, students explore how modern AI systems collect, analyze, and act on personal data through the lens of surveillance and facial recognition technologies, using an interactive, story-based investigation set in an airport environment.
Lesson 2: AI and Decision Making-Students analyze how data-driven ranking and prediction systems influence outcomes for individuals and groups.