[thearchitect1]

I really don't see the problem.

White men are the largest demographic of the US, so nueral networks will have a bias towards them. It really isn't that complicated.

[djaque]

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...

[watwut]

> 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.

[kmm]

The sex ratio at birth is actually slightly biased towards men, it takes a few decades to even out. Globally, there are also more men than women, but that's partly due to China and India being artificial outliers, in most countries, women outnumber men.

[jasongill]

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.

[thearchitect1]

Yeah because nobody is using Asian datasets.

Asians are less than 5% of the population in the US.