data disaggregation

Data disaggregation refers to the process of breaking down aggregated data into smaller, more granular components to reveal patterns and insights that might otherwise be hidden. In the context of AI and accessibility, Microsoft uses data disaggregation to ensure that digital innovations serve diverse user groups, including people with disabilities. By analyzing data at a finer level, developers can identify specific accessibility barriers and tailor solutions accordingly. This approach supports inclusive design by making sure that AI-driven tools address the needs of all users, not just the majority. Data disaggregation is a key practice in creating equitable technology that accounts for variations in ability, language, and context.