Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach
By Michael Veale, F. J. Z. Borgesius. Computer Law Review International, 2021
626 citations recorded by the source corpus.
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI practices to the structure of EU product safety regimes over the last four decades. Aspects of the AI Act, such as different rules for different risk-levels of AI, make sense. But we also find that some provisions of the draft AI Act have surprising legal implications, whilst others may be largely ineffective at achieving their stated goals. Several overarching aspects, including the enforcement regime and the effect of maximum harmonisation on the space for AI policy more generally, engender significant concern. These issues should be addressed as a priority in the legislative process.
Subfields: Artificial Intelligence, Safety Research
View Paper: https://www.semanticscholar.org/paper/8b165eba2d0b9308682fdc4d775c00d1d3907a59
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Indra Elizabeth Kumar
- Aaron Horowitz
- Alexandra Sasha Luccioni
- Andrew D. Selbst
- Philipp Hacker
- Inioluwa Deborah Raji
In Safety Research
- Inioluwa Deborah Raji
- Philipp Hacker
- Indra Elizabeth Kumar
- Mike Ananny
- Alexandra Sasha Luccioni
- Andrew D. Selbst
- Adrian Weller
- Reuben Binns
Citations in the corpus
- Regulating ChatGPT and other Large Generative AI Models (2023, background): “28-28b AI Act EP Version2) contain provisions to explicitly regulate LGAIMs, even if their providers are based outside of the EU [14, cf. also 23].”
- A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication (2021, background): “Therefore, it will be important for dataset creators and providers to consistently assess them over time, especially during periods of dramatic changes in the law, such as when GDPR was implemented in May 2018, when the US-EU Privacy Shield replaced the data protection Safe Harbor Framework, or if, ”
- The Fallacy of AI Functionality (2022, background): “products’ safety and performance, as well as quality management for high risk systems [190].”