Cross-Disciplinary Approaches

Adopting cross-disciplinary approaches involves integrating knowledge from fields such as sociology, psychology, and anthropology into AI development. By doing so, developers can gain insights into human behavior, societal structures, and cultural nuances that play significant roles in how bias forms and manifests. This approach encourages a more holistic understanding of bias and aids in uncovering hidden biases that purely technical perspectives might miss.