**4. Conclusions**

The entanglement of human life with computer vision has been done through data, which is the main raw material of machine learning or Big Data, being the deluge of data that is made available to train computer vision. As they are inserted, they receive preliminary descriptions that consist of a tag, label, which enables standards, which regulate deep learning, the more data that is produced by us, the more data are selected, labeled, and each time more algorithmic performativity corresponds to what has been learned through datasets, but this has not given the guarantee that there is equity, diversity in facial recognition, as noted, Google chose not to describe people's gender, it will be simpler to delete algorithms instead of teaching that there is diversity? Or remain in the hegemonic category like Amazon? Anyway bodies that do not adapt to the binary continue to be made invisible, whether by humans, increasingly sophisticated algorithms, but that do not work alone, we know that the standards that regulate this data tend to be biased by other humans.
