This will be unpopular but I don't care. What is the evidence that the source data for this 'AI' is biased because the men it came from did not want to hire women? Is there a reserve of unemployed non-male engineers out there? If so what evidence is there of that? Technical talent is both expensive and a rare commodity for tech companies. The non-male engineers I've worked with have always been exceedingly competent,…
1. There's no reason to expect that these women will be unemployed - they just won't be working for Amazon. That's all we know. No point going looking for them.
2. You can't assign intent to hiring decisions made in the training data - there's no reason to believe that men (and why single them out?) "did not want to hire women". Maybe they did. Maybe they have no idea that they're biased - maybe the women making such hiring decisions are just as biased. We have no idea.
3. The evidence that the AI is biased, is that.... the AI is biased. Which means that the training data is biased. Why that is, is a great question - it may reflect unconscious bias in the hiring process, or more obvious old-fashioned biases. It may reflect that the model amplifies some minor bias in the training data and turns it into something much bigger. We don't know.
So yeah, it's biased - the question is why.