Here are two good pieces addressing racial inequality in tech
- If Toronto wants to be a global tech hub, it needs to nurture Black talent | TVO.org
- Racial Justice Open Source Projects – Call for Code for Racial Justice – IBM Developer
In my humble and limited opinion, tech has many gaps when it comes to who works in the industry, especially when it comes to women and when it comes to black and indigenous people. Any efforts to address these gaps are a good thing.
(Photo by Christina @ wocintechchat.com on Unsplash)
This piece, Most engineers are white — and so are the faces they use to train software – Recode, implies that AI software doesn’t do a good job recognizing non-white faces because most engineers (i.e. software developers) are white. I’d argue that the AI does a poor job because of this: the developers aren’t very good.
Good software developers, in particular the lead developers, take an active role in ensuring they have good test data. The success of their software when it goes live is dependent on it. Anyone using training data (i.e. using test data) in AI projects that is not using a broad set of faces is doing a poor job. Period. Regardless of whether or not they are white.
If the AI is supposed to do something (i.e. recognize all faces) and it does not, then the AI sucks. Don’t blame it on anything but technical abilities.