Risk Management Framework in the AI Act

The Artificial Intelligence Act (AI Act) is a landmark regulatory system proposed by the European Commission to oversee the development and setting out of artificial intelligence across the European Union. The AI Act was officially proposed in April 2021 and aims to put clear regulations on AI applications, especially those falling into high-risk categories, with the purpose of protecting public health, safety, and fundamental rights. The legislation follows a risk-based approach that will enable a balance of harms related to the usage of AI technologies with innovation. This leading-edge framework makes the EU an international leader in the ethical governance of AI and, hence, should serve as a model for similar initiatives across other parts of the world. This article will carry out a doctrinal assessment or analysis of Article 9 under the AI Act through four methods of statutory interpretation: literal, systematic, teleological, and historical. Relying on the existing Drafts and proposed amendments from the European Commission, Council, and European Parliament, this analysis delineates Article 9's purpose and scope and its specific risk management requirements. It will continue to discuss the potential enforcement strategy for the provisions of this article and end with a section on recommendations to amplify the legislative process under the AI Act.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17007911
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Management Framework in the AI Act

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Risk Management Framework in the AI Act

article en

Abstract

The Artificial Intelligence Act (AI Act) is a landmark regulatory system proposed by the European Commission to oversee the development and setting out of artificial intelligence across the European Union. The AI Act was officially proposed in April 2021 and aims to put clear regulations on AI applications, especially those falling into high-risk categories, with the purpose of protecting public health, safety, and fundamental rights. The legislation follows a risk-based approach that will enable a balance of harms related to the usage of AI technologies with innovation. This leading-edge framework makes the EU an international leader in the ethical governance of AI and, hence, should serve as a model for similar initiatives across other parts of the world. This article will carry out a doctrinal assessment or analysis of Article 9 under the AI Act through four methods of statutory interpretation: literal, systematic, teleological, and historical. Relying on the existing Drafts and proposed amendments from the European Commission, Council, and European Parliament, this analysis delineates Article 9's purpose and scope and its specific risk management requirements. It will continue to discuss the potential enforcement strategy for the provisions of this article and end with a section on recommendations to amplify the legislative process under the AI Act.

Zenodo (CERN European Organization for Nuclear Research)
American Public University System (US)
Openalex Percentile: Top 58%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Risk Management Framework in the AI Act · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS