Nice stats, but it isn’t broken down on industry. From experience (I worked in different fields) in some industries such as pharma, people analytics or marketing, women are even likely the majority (they were majority when I worked in pharma, for instance). In more “pure” tech and fintech companies, I do not believe those stats represent the “natural distribution”. I know it’s anecdotal, but trust me, it’s not easy to find woman in AI in some industries. They are highly valued, well paid and have quick career progression because of this, to attract and retain them.
That said, elon is probably “machist” type of guy, I am not defending him. Just trying to give a bit of context
The entire paper is already sub-field (AI) in industry (software engineering) specific. No stats are perfect, but I think these ones are pretty damn good for something where peoples role are pretty poorly determined in the first place. Of course you’re welcome to try and find better ones.
The “pure tech” companies I’ve worked at have been roughly equivalent or better than these stats, but at that point I’m sampling from software engineers in general (not having worked at an AI specific company), and my sample is unlikely to be unbiased anyways.
Eh, the gender imbalance is bad, but not 0/12 bad… here are some stats
Nice stats, but it isn’t broken down on industry. From experience (I worked in different fields) in some industries such as pharma, people analytics or marketing, women are even likely the majority (they were majority when I worked in pharma, for instance). In more “pure” tech and fintech companies, I do not believe those stats represent the “natural distribution”. I know it’s anecdotal, but trust me, it’s not easy to find woman in AI in some industries. They are highly valued, well paid and have quick career progression because of this, to attract and retain them.
That said, elon is probably “machist” type of guy, I am not defending him. Just trying to give a bit of context
The entire paper is already sub-field (AI) in industry (software engineering) specific. No stats are perfect, but I think these ones are pretty damn good for something where peoples role are pretty poorly determined in the first place. Of course you’re welcome to try and find better ones.
The “pure tech” companies I’ve worked at have been roughly equivalent or better than these stats, but at that point I’m sampling from software engineers in general (not having worked at an AI specific company), and my sample is unlikely to be unbiased anyways.