Learning to spot gender bias in AI by creating and comparing
Chair’s engagements · Stories & activities
Hands-on learning: generate images, compare gender and role bias, then write prompts to improve the results.
Turn questions into experiments.
Exploring gender bias in AI images
- Create · Compare · Reflect
- Who is visible?
- What are we assuming?
- Activity year
- 2026
- Organiser
- Seoul Foundation of Women & Family
- Role
- Chair Kim Ye Eun · Practical training in AI gender-equality monitoring
- Supporting materials
- Chair’s teaching activity record
Practical training in AI-assisted gender-equality monitoring
KAAA chair Kim Ye Eun took part in practical AI training for the Seoul Foundation of Women & Family’s AI-based gender-equality monitoring group.
Create, compare and document for yourself
- Create — Learn how generative AI makes images and how prompts are structured.
- Compare — Look for gender and role bias that can appear even in responses to neutral prompts.
- Document — Record prompts, outputs and observed issues for use in monitoring work.
Hands-on training used accessible examples of work, care and safety. This teaching activity is documented separately from the Safe Filter research advisory work.