KOREAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE AND LAW

KAAIL · AI LAW & POLICY RESEARCH

From the Rule of the Word to Workflow: Why Institutions, Not Models, Determine the Effectiveness of the EU AI Act: Lessons from the First Implementation in Hungary

Abstract-based AI summary: This is a summary based only on the abstract, and the full text was not reviewed. The author argues that the regulatory target of AI should be deployment workflows rather than models, and interprets the EU AI Act as a preventive governance regime that works only when there are clear workflows and permanent supervisors to inspect them. In the Hungarian case, fin

International ResearchCrossrefAI summary
Author

Nimród Mike

Publication DateLanguage en

AI Research Summary

Before Human Review

Abstract-based · Full paper not reviewed · Not an official association position

Summary createdBrief updated

This is a summary based only on the abstract, and the full text was not reviewed. The author argues that the regulatory target of AI should be deployment workflows rather than models, and interprets the EU AI Act as a preventive governance regime that works only when there are clear workflows and permanent supervisors to inspect them. In the Hungarian case, financial services were supervised by the central bank, while employment was supervised by a ministry with no inspection relationship, leading to differences in enforcement of the same obligations.

Key Points from the Abstract

  1. It proposes deployment workflows as the core unit of regulation.
  2. It holds that the existence and capability of supervisors determine the effectiveness of the AI Act.
  3. It argues that enforcement was uneven in Hungary because of sectoral supervisory differences.

Relevance to AI Law and Policy

It is meaningful for the design of EU AI Act enforcement, the capacity of supervisory authorities, and the problem of uneven enforcement within member states.

Limitations to Consider

  • Summary based on the abstract only; the full text was not reviewed.
  • Detailed empirical data and methods cannot be confirmed from the abstract alone.
  • The generalizability of the authors' claims cannot be determined from the abstract alone.

Please compare with the original text before citing or using it in your assessment.

Abstract Preview
Abstract Whether a new technology needs its own law is an old question, and for…
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Original text and source

Original Title

From the Law of the Horse to the Workflow: Why Institutions, Not the Model, Decide the EU AI Act’s Effectiveness: Lessons from Hungary’s First-Wave Implementation

The Korean title on this page was translated by AI.
Journal or publication
European Journal of Risk Regulation
Original publisher
Cambridge University Press (CUP)
Database
Crossref
Original paperRead more in the original text