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Opportunities and Challenges in Teaching Algorithmic Justice in K–12 Computing Education

Thu, April 11, 4:20 to 5:50pm, Pennsylvania Convention Center, Floor: Level 100, Room 118B

Session Type: Structured Poster Session

Abstract

Despite increasing interest in justice and fairness research in computing, in education little attention has been given to how teachers can support learners to engage with algorithmic justice. Today we recognize that algorithmic systems are not neutral, they reflect the values of their creators, and are not the solution to all problems—often causing or perpetuating existing problems. In this session, we offer perspectives on teaching computing, particularly artificial intelligence and machine learning and algorithmic justice in K-12, from co-designing learning activities with teachers, to teacher training and the implementation of curricula that center algorithmic justice. Considering issues of justice in the classroom is imperative for teachers to prepare youth to participate in a world where AIML is ubiquitous.

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