Inclusive Machine Learning

Inclusive Machine Learning (ML) refers to designing AI systems that serve and respect diverse populations by recognizing and minimizing biases related to factors like race, gender, or socioeconomic background. It aims to ensure these technologies work fairly and accurately across different groups, avoiding unfair discrimination or unintended harm. This involves thoughtful data collection, inclusive testing, and ongoing evaluation to improve performance for all users. Ultimately, inclusive ML strives to create AI that is equitable, trustworthy, and beneficial for everyone, regardless of their background or identity.