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Of course there are issues with bias. But those issues are just reflections of the world. Their solution is not a technical one.
by geysersam 4y ago
Of course there are issues with bias. But those issues are just reflections of the world. Their solution is not a technical one.
- abeppu 4y agoI think that's refusing to meaningfully engage with the problem. It's not reflecting the _world_ which is not majority white. It's reflecting images in their dataset, which reflects the way they went about gathering images paired with English language text. There are lots of other ways you could get training data, but they might not be so cheap. You could have humans give English descriptions to images from other language contexts. I'm guessing there's interesting things to do with translation. But all the weird stuff about bodies, physical objects intersecting etc ... maybe it should also be rendering training images from parametric 3d models? Maybe they should be commissioning new images with phrases that are likely to the language model but unlikely to the image model. Maybe they should build classifiers on images for race/gender/age and do stratified sampling to match some population statistics (yes I'm aware this has its own issues). There are lots of potential technical tools one could try to improve the situation. Implying that the whole world must change before one project becomes less biased is just asking for more biased tech in the world