Summary of An Open Knowledge Graph-based Approach For Mapping Concepts and Requirements Between the Eu Ai Act and International Standards, by Julio Hernandez et al.
An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards
by Julio Hernandez, Delaram Golpayegani, Dave Lewis
First submitted to arxiv on: 21 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper presents a novel mechanism for mapping regulatory requirements into open knowledge graphs, enabling the assessment of standards conformance to regulatory compliance. This approach is particularly relevant in light of the EU’s AI Act, which relies on Harmonized Standards for technical requirements. The paper aims to address the challenge of determining the degree to which standards conformity delivers regulatory compliance with the AI Act, given potential variance and gaps between definitions used in regulations and harmonized standards. The proposed mechanism can be used to identify areas where further technical consensus development is required to achieve regulatory compliance, particularly important for SMEs and public sector bodies relying on standards conformance. The paper’s contributions include a repeatable method for mapping regulatory requirements into open knowledge graphs, which can facilitate the development of trustworthy AI systems that meet regulatory compliance demands. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In simple terms, this research paper proposes a new way to understand how laws and industry standards relate to each other. This is important because companies need to follow these rules when developing artificial intelligence (AI) systems. The researchers are trying to make it easier for companies to figure out if they are following the right rules by creating a system that maps regulatory requirements into something that can be easily understood. The paper is about how to make sure AI systems are trustworthy and compliant with laws, especially in Europe where there are new regulations coming into effect. The researchers think their approach will help small and medium-sized companies (SMEs) and government organizations develop AI systems that meet these regulations. |
