  Artificial intelligence (AI) systems, such as machine learning algorithms,
have allowed scientists, marketers and governments to shed light on
correlations that remained invisible until now. Beforehand, the dots that we
had to connect in order to imagine a new knowledge were either too numerous,
too sparse or not even detected. Sometimes, the information was not stored in
the same data lake or format and was not able to communicate. But in creating
new bridges with AI, many problems appeared such as bias reproduction, unfair
inferences or mass surveillance. Our aim is to show that, on one hand, the AI's
deep ethical problem lays essentially in these new connections made possible by
systems interoperability. In connecting the spheres of our life, these systems
undermine the notion of justice particular to each of them, because the new
interactions create dominances of social goods from a sphere to another. These
systems make therefore spheres permeable to one another and, in doing so, they
open to progress as well as to tyranny. On another hand, however, we would like
to emphasize that the act to connect what used to seem a priori disjoint is a
necessary move of knowledge and scientific progress.
