Auditing Machine Learning Applications for Algorithmic Justice with Computer Science High School Students and Teachers
May 2024: Teacher Pre-Interviews
Gather:
● What are high school CS teachers’ values and considerations of algorithmic justice in machine learning applications?
Summer 2024 Co-Design Workshop: July 8-12, 2024
Participants:
● Six experienced CS teachers: Los Angeles, Delaware, Philadelphia - Equity-driven CS experience with urban, suburban, and rural students - Experienced with electronic textiles & physical computing
● High school students (Philadelphia)
- Experienced in designing algorithm audits
- Novices exploring algorithm audits
Fall 2024
Design:
● Revise & draft Algorithm Audit Curriculum for high school CS classrooms
● Two group meetings
● One-two teachers leading curriculum design
Analyze
● Teacher Pre-Interviews
Spring 2025
Test & Gather
● Pilot curriculum in two classrooms
● How do high school CS teachers integrate and support students’ collaborative audits of machine learning applications in classrooms?
Equity:
● Increase AI/ML knowledge, skills, and attitudes of students in economically disadvantaged and racially/ethnically minoritized populations in current STEM education efforts and careers ● Directly reach students in two classrooms (Spring 2025) and six classrooms (Spring 2026) ● Working with teachers in California, Delaware and Pennsylvania school districts. ● Curriculum to reach many more!
