We envision a computer science education ecosystem where all students experience inclusive and equitable learning environments that enable the interrogation of the creation of technology, the examination of ethical concerns, risks, and harms, and the building of knowledge to harness the power of computing for justice.
This collaborative initiative will seek to advance Justice-Centered CS education through the following:
- Research & Data
- Content & Teaching Standards
- Teacher Training
“We need people designing technologies for society to have training and an education on the histories of marginalized people, at a minimum, and we need them working alongside people with rigorous training and preparation from the social sciences and humanities.”
– Dr. Safiya Umoja Noble, Algorithms of Oppression: How Search Engines Reinforce Racism
Responsible AI and Tech Justice is a robust and comprehensive course of study that utilizes an explicit racial and social justice lens to equip all students with the knowledge and resources to critically interrogate the ethical and equitable development, deployment, and impacts of AI, while simultaneously challenging, disrupting, and remedying the harms that these various technologies can cause within individual’s lives, communities, and society at large.
The Six Core Components serve as a guide for educators, parents, policymakers, and advocates seeking to design learning experiences for students and teachers aligned to the vision of justice-centered computing education, where both the critical interrogation of technologies and the disruption and creation of more ethical and equitable solutions is prioritized.