KOREAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE AND LAW
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Sustainable AI Governance: A Theoretical Framework for Legal Compliance and Environmental Responsibility - A Systematic Conceptual Review

Abstract-based AI summary: This is a summary based on the abstract, and the full text was not reviewed. The study claims to be a conceptual systematic review proposing a 'Sustainable AI Governance Framework (SAGF)' that integrates AI's legal compliance and environmental responsibility into a single governance framework. By selecting 58 studies, it derives a three-pillar structure of regulatory consistency, environmental

International ResearchCrossrefAI summary
Author

Samta Kathuria · Rajesh Singh · Shyamal M Dave · Mahima Chaudhary · Parth Makwana · Dixita Suthar · Pradeepto Pal

Publication DateLanguage und

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 on the abstract, and the full text was not reviewed. The study claims to be a conceptual systematic review proposing a 'Sustainable AI Governance Framework (SAGF)' that integrates AI's legal compliance and environmental responsibility into a single governance framework. By selecting 58 studies, it derives a three-pillar structure of regulatory consistency, environmental responsibility, and legal compliance, and presents mandatory carbon disclosure, cross-jurisdictional legal harmonization, and staged organizational standards as a policy roadmap.

Key Points from the Abstract

  1. It proposed a three-pillar conceptual model called SAGF.
  2. It argues that existing AI regulation fails to integrate environmental and legal aspects.
  3. It recommends carbon disclosure, legal harmonization, and staged compliance standards.

Relevance to AI Law and Policy

It is useful for discussions on governance design that incorporates both environmental responsibility and legal compliance into AI regulation.

Limitations to Consider

  • The detailed quality and validity of the included studies cannot be confirmed from the abstract alone.
  • Empirical effects are not confirmed in the abstract.
  • Where limitations are not explicitly stated, no judgment can be made.

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

Abstract Preview
The fast increase in artificial intelligence (AI) in vital points in society has created significant…
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Research Topic

AI Governance

Original text and source

Original Title

Sustainable AI Governance: A Theoretical Framework for Legal Compliance and Environmental Accountability A Systematic Conceptual Review

The Korean title on this page was translated by AI.
Journal or publication
International Journal for Global Academic & Scientific Research
Original publisher
International Consortium of Academic Professionals for Scientific Research
Database
Crossref
Original paperRead more in the original text
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