  The purpose of this paper is to analyse the opacity of algorithms,
contextualized in the open debate on responsibility for artificial intelligence
causation; with an experimental approach by which, applying the proposed
conversational methodology of the Turing Test, we expect to evaluate the
performance of one of the best existing NLP model of generative AI (Chat-GPT)
to see how far it can go right now and how the shape of a legal regulation of
it could be. The analysis of the problem will be supported by a comment of
Italian classical law categories such as causality, intent and fault to
understand the problem of the usage of AI, focusing in particular on the
human-machine interaction. On the computer science side, for a technical point
of view of the logic used to craft these algorithms, in the second chapter will
be proposed a practical interrogation of Chat-GPT aimed at finding some
critical points of the functioning of AI. The end of the paper will concentrate
on some existing legal solutions which can be applied to the problem, plus a
brief description of the approach proposed by EU Artificial Intelligence act.

Artificial Intelligence