Inclusive Data Collection and Dataset Design

AI systems should be trained on datasets that are diverse and representative of women and gender minorities to prevent bias. This involves actively including voices and experiences from these groups during data collection, ensuring that the AI learns patterns that reflect their realities rather than perpetuating stereotypes or excluding their identities.