Incorporating Diverse Data in AI Training

Artificial Intelligence (AI) and Machine Learning (ML) models are better equipped to serve a diverse user base, including women, when trained on diverse datasets. User-centered design principles advocate for the inclusion of varied data reflective of all user groups, ensuring that AI-driven products do not perpetuate biases but instead deliver equitable and inclusive outcomes.