diversityaware
Diversityaware is a framework and guiding concept for designing, developing, and evaluating systems with explicit consideration of diversity across users, contexts, and data. It emphasizes inclusive design, broad representation, and fairness throughout the lifecycle of products and services, including data collection, model development, and interface design. The term is used to describe practices that move beyond general usability to actively address varied perspectives, abilities, cultures, languages, and socio-economic contexts.
Diversityaware applies to software, artificial intelligence, data governance, education, and policy development. Core principles include inclusion,
Practices associated with diversityaware include diverse user research panels, edge-case testing, bias and fairness audits, and
Adopting diversityaware can improve usability, reduce discrimination, and enhance system validity across populations. Challenges include measuring
Fairness in AI, inclusive design, accessibility, bias audits, diverse datasets, user-centered design.