Risk Management in the Artificial Intelligence Act

The proposed Artificial Intelligence Act (AI Act) is the first comprehensive attempt to regulate artificial intelligence (AI) in a major jurisdiction. This article analyses Article 9, the key risk management provision in the AI Act. It gives an overview of the regulatory concept behind the norm, determines its purpose and scope of application, offers a comprehensive interpretation of the specific risk management requirements and outlines ways in which the requirements can be enforced. This article can help providers of high-risk systems to comply with the requirements set out in Article 9. In addition, it can inform revisions of the current draft of the AI Act and efforts to develop harmonised standards on AI risk management.

Paper

References (28)

09For more information on the problem of distributional (or dataset) shift, see Joaquin Quiñonero-Candela and others2022 · Dataset Shift in Machine Learning
10Enterprise Risk Management-Integrating with Strategy and Performance', supra, note 15. 134 Clause 3.8 of 'ISO/IEC Guide 51:2014 Safety Aspects -Guidelines for Their Inclusion in Standards2018
11The term "risk appetite" can be defined as the "amount and type of risk that an organization is willing to pursue or retain2009
12which is currently under development. 107 For more information on addressing catastrophic risks through AI risk management measures, see Anthony M Barrett and others

Scroll for more · 16 remaining

Similar papers

© 2026 NYSGPT2525 LLC