Identifying regulatory statements in legislation is useful for developing metrics to measure the regulatory density and strictness of legislation. A computational method is valuable for scaling the identification of such statements from a growing body of EU legislation, constituting approximately 180,000 published legal acts between 1952 and 2023. Past work on extraction of these statements varies in the permissiveness of their definitions for what constitutes a regulatory statement. In this work, we provide a specific definition for our purposes based on the institutional grammar tool. We develop and compare two contrasting approaches for automatically identifying such statements in EU legislation, one based on dependency parsing, and the other on a transformer-based machine learning model. We found both approaches performed similarly well with accuracies of 80% and 84% respectively and a K alpha of 0.58. The high accuracies and not exceedingly high agreement suggests potential for combining strengths of both approaches.

The proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse on how AI systems can (and should) be regulated. In this article, we describe and discuss the two primary enforcement mechanisms proposed in the AIA: the conformity assessments that providers of high-risk AI systems are expected to conduct, and the post-market monitoring plans that providers must establish to document the performance of high-risk AI systems throughout their lifetimes. We argue that AIA can be interpreted as a proposal to establish a Europe-wide ecosystem for conducting AI auditing, albeit in other words. Our analysis offers two main contributions. First, by describing the enforcement mechanisms included in the AIA in terminology borrowed from existing literature on AI auditing, we help providers of AI systems understand how they can prove adherence to the requirements set out in the AIA in practice. Second, by examining the AIA from an auditing perspective, we seek to provide transferable lessons from previous research about how to refine further the regulatory approach outlined in the AIA. We conclude by highlighting seven aspects of the AIA where amendments (or simply clarifications) would be helpful. These include, above all, the need to translate vague concepts into verifiable criteria and to strengthen the institutional safeguards concerning conformity assessments based on internal checks.

On April 21, 2021, the European Commission unveiled its long-awaited proposal for a regulation laying down harmonized rules on artificial intelligence and amending certain union legislative acts. The proposal is the result of several years of preparatory work by the commission and its advisers, including the publication of a "White Paper on Artificial Intelligence." The proposal is a key piece in the commission's ambitious European Strategy for data. The regulation applies to (1) providers that place on the market or put into service AI systems, irrespective of whether those providers are established in the European Union or in a third country; (2) users of AI systems in the EU; and (3) providers and users of AI systems that are located in a third country where the output produced by the system is used in the EU. The term "AI system" is broadly defined as "software that is developed with one or more of the techniques and approaches listed in Annex I and can, for a given set of human-defined objectives, generate outputs such as content, predictions, recommendations, or decisions influencing environments they interact with." The commission takes a risk-based but overall cautious approach to AI and recognizes the potential of AI and the many benefits it presents, but at the same time is keenly aware of the dangers these new technologies present to the European values and fundamental rights and principles.

MEPs are currently working on legislation to be adopted around artificial intelligence (AI). Innovation, access to data, protection of citizens, ethics, research, legal, social and economic issues, the impacts of the future regulation are numerous and central for citizens, administrations and businesses alike. So what are the outlines of the EU legislation envisaged by MEPs on artificial intelligence? This is the question Parliament has answered. Intelligence plays a major role in the digital transformation of our societies.