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Gender bias is rampant in AI systems, causing bad user experience,injustices, and mental harm to women. School curricula fail to educate AIcreators on this topic, leaving them unprepared to mitigate gender bias in AI.In this paper, we designed hands-on tutorials to raise AI creators' awarenessof gender bias in AI and enhance their knowledge of sources of gender bias anddebiasing techniques. The tutorials were evaluated with 18 AI creators,including AI researchers, AI industrial practitioners (i.e., developers andproduct managers), and students who had learned AI. Their improved awarenessand knowledge demonstrated the effectiveness of our tutorials, which have thepotential to complement the insufficient AI gender bias education in CS/AIcourses. Based on the findings, we synthesize design implications and a rubricto guide future research, education, and design efforts.

"I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials