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