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So do you think that gans can totally eliminate bias in an area like facial recognition? totally is probably a very strong term, but i think they can mitigate significantly, yes, i think so. i would say that if you do collect more real data, if you are able to do that, then you should do that. this technique should optimise how these systems work, but what is more important are the people behind the code. the reality is that technology always reflects the biases that exist in society. and just changing facial recognition tools to make them more accurate isn't going to change that.

Look the way it does — at least mathematically, anyway. once we have this digital replica, we can start playing around with different features. we can fiddle with age, ethnicity and mix faces, but most importantly, create people that don't exist at all. this technology is used to create large databases of fake faces, which is then used to train facial recognition systems. but creating faces in this way is not enough. if you want to create something that works and treats everyone more equally, the real images you feed into the gan have to be representative of life. after all, we would not be ...

By generated photos in the us, a company specialising in creating gan images. it spent several months taking pictures of thousands of people. these models were specifically chosen for their diversity, but they are also being captured doing all sorts of things. so do you think that gans can totally eliminate bias in an area like facial recognition? totally is probably a very strong term, but i think they can mitigate significantly, yes, i think so. i would say that if you do collect more real data, if you are able to do that, then you should do that. this technique should optimise how these sys...

These models were specifically chosen for their diversity, but they are also being captured doing all sorts of things. so do you think that gans can totally eliminate bias in an area like facial recognition? totally is probably a very strong term, but i think they can mitigate significantly, yes, i think so. i would say that if you do collect more real data, if you are able to do that, then you should do that. this technique should optimise how these systems work, but what is more important are the people behind the code.

After all we wouldn't be looking straight into the camera in the real world. this is a photo shoot by generate a photo shoot in the us. a company specialising in a company specialising in creating gan images. it spent several months taking pictures of thousands of people. these models were specifically chosen for their diversity, but they are also being captured doing all sorts of things. so do you think that gans can totally eliminate bias in an area like facial recognition? totally is probably a very strong term, but i think they can mitigate significantly, yes, i think so. i would say that ...