Transparency and Accountability in AI Systems

Regulations must prioritize transparency and accountability in AI development to combat gender bias effectively. By mandating that AI systems be accompanied by clear documentation of their decision-making processes, regulators can foster an environment where biases are more easily identified and corrected. This approach helps bridge the gap between technical operations and the impact of AI on society, making it easier to hold developers accountable for biased outcomes.