here is an illustration that seemingly minor choices in learning algorithms or loss can have significant effects so bias in ML systems is about much more than just avoid data bias ml researchers and practitioners must pay attention to these issues and I think they are and Lacan doesn't say anything against that he says as I point out in my comment to this tweet is much more efficient to correct this kind of bias note that Yann Lacan actually differentiates between the different kinds of biases by equalizing the