Regulatory Frameworks for Bias Reduction

Implementing regulatory frameworks that mandate the reduction of gender bias in tech through better training data can be effective. Governments and industry bodies could set standards and benchmarks for dataset diversity and algorithmic fairness. Compliance with these standards would not only ensure that companies prioritize the reduction of gender bias but also create a level playing field where fair and ethical AI solutions are valued and promoted.