Course Description

In this micro-credential, learners examine how AI systems reflect human decisions and data, identify how bias in data or design can lead to unfair or inaccurate outcomes, and apply this understanding to support students in critically analyzing AI in the classroom. This micro-credential meets the STEM certificate renewal requirement. To earn clock hours for this micro-credential: (1) Complete WEA micro-credential orientation to learn about the process. Complete orientation ONCE. Register for orientation on https://wea-win.org/. (2) Register for an NEA micro-credential https://nea.certificationbank.com/Washington AND register for WEA clock hours for the specific NEA micro-credential you selected on https://wea-win.org/. (3) Complete the WEA micro-credential workshop EVERY TIME you are working on a new micro-credential. For more information, see: https://www.washingtonea.org/events-training/pd/micro-credentials/

Course Objectives

In this micro-credential, educators explore how artificial intelligence systems - such as chatbots, summarizers, or recommendation tools - mirror the data and design choices behind them. By comparing outputs from AI tools built on differing information sources or perspectives, educators analyze how bias arises and how it shapes responses. They then design and facilitate a classroom experience that helps students recognize, question, and discuss bias in AI systems.