How can we reduce bias in AI systems?
Reducing bias in AI involves diverse training data, regular audits, and inclusive design practices.
What are some techniques to ensure diverse training data?
Techniques include data augmentation, sourcing from varied demographics, and using synthetic data.
How often should we audit AI systems for bias?
AI systems should be audited regularly, ideally after major updates and at least annually.
Can you give examples of inclusive design practices?
Inclusive design practices include user testing with diverse groups and considering accessibility from the start.
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