REGULATORY APPROACHES TO ARTIFICIAL INTELLIGENCE (AI)

Abstract

Artificial intelligence (AI) represents a complex phenomenon whose dimensions are difficult to understand in the legal field. The main thesis developed in this article is to know the regulatory modalities to create a solid normative block of multilevel regulation, where diverse regulatory instruments are combined. The general objective is to create a taxonomic proposal of the types of rules and regulations in binding and non-binding standards, and the particular objective is to analyze new alternative mechanisms to traditional regulation such as certification, audits, transparency, regulatory test environments, insurance, and algorithmic impact assessments, which will help make better decisions on ways to regulate AI.