ON THE TAXONOMY OF ARTIFICIAL INTELLIGENCE SYSTEMS IN THE VIEW OF THE UNIFORM UNIFICATION LEGISLATION. SPECIAL LOOK AT "HIGH RISK" IN BUSINESS-TO CONSUMER, BUSINESS-TO-BUSINESS CONTRACTS
ON THE TAXONOMY OF ARTIFICIAL INTELLIGENCE SYSTEMS IN THE VIEW OF THE UNIFORM UNIFICATION LEGISLATION. SPECIAL LOOK AT "HIGH RISK" IN BUSINESS-TO CONSUMER, BUSINESS-TO-BUSINESS CONTRACTS

Summary/Abstract: The Union Regulation on Artificial Intelligence represents the legal framework intended to stop the abusive use of digital systems and, at the same time, to encourage technological progress while providing effective guarantees to protect fundamental rights and freedoms. The most important step of this regulation was the establishment of risk assessment criteria associated with the development and implementation of artificial intelligence technologies, as well as the careful assessment of potential associated risks. Specifically, the Union harmonization provision defines four determined levels of potential threat associated with the use of AI technologies, namely, unacceptable risk, high risk, limited risk and minimal risk. The present study establishes as the main topics for reflection both an analysis of these types of risks and the circumscribed fields of application as well as the specific approach regarding high-risk AL systems in the matter of business-to-consumer and business-to-business contracts. Thus, with regard to automated B2C contracts, we emphasize the need for a "recalibration" of consumer protection legislation in the context of the need to guarantee additional rights to them. With regard to B2B contracts, we believe that appropriate legislation may be needed to protect small and medium-sized enterprises from the abuse of market power by dominant players who may resort to commercial or technological blockages.

• Details
• Contents