What software that turns Obama white can (and can’t) tell us about AI bias

> It's not a AI bias problem, it's a dataset problem

I would argue that it's beside the point. The argument is that the ML systems we generate now and are looking to use for real world systems have biases in them. For example, you do not want a lender auditing system used by banks to incorporate features that end up being proxies for race because the data you used to generate it was biased [1].

[1] https://news.cornell.edu/stories/2019/01/study-ai-may-mask-r...

> White men are the largest demographic of the US

That is super unlikely, considering that women are born slightly more often then males and women live longer.

The article highlights dataset biases that reinforce existing biases in society. It becomes a problem when ML affects the real world. See e.g. predictive policing [1].

[1] https://www.vice.com/en_ca/article/889xyb/over-1000-ai-exper...

White women are the largest demographic in the US, but the US is only a small fraction of the world population. There are more Asian women in the world than there are men & women in the US and Europe combined, but this software fails miserably on Asian women as shown in the article.