Gender Bias in AI Training Data

AI and machine learning algorithms are only as unbiased as the data they're trained on. Women in tech face the ethical challenge of addressing and mitigating gender bias present in historical training data sets. Ensuring that AI systems do not perpetuate existing gender inequalities requires a conscientious effort to audit and refine these data sets, promoting fairness and equality in AI outcomes.