Cross-disciplinary Approaches to Bias Reduction

Combining insights from social sciences, ethics, and technology can offer innovative ways to reduce gender bias in tech through better training data. Researchers and practitioners from different fields can collaborate to identify biases and develop more nuanced data collection and processing methods. This cross-disciplinary approach ensures that technological solutions are not only technically sound but also socially responsible and equitable, significantly enhancing the effectiveness of better training data in reducing bias.