KOREAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE AND LAW

KAAIL · AI LAW & POLICY RESEARCH

Accountability and Transparency of AI Systems: A Human Rights Perspective

AI summary based on the abstract: Abstract-based summary and the full original text was not reviewed. This article examines, through dogmatic legal interpretation, whether existing human rights law imposes enforceable duties of accountability and transparency on states and companies in relation to the human rights impacts caused by AI decision-making. With reference to the UNGP, ICCPR, EU AI Act, UNESCO Recommendation, and India

International ResearchCrossrefAI summary
Author

Nikita Sharma · Sandeep Saini

Publication DateLanguage und

AI Research Summary

Before Human Review

Based on abstract · Full text not reviewed

Abstract-based summary and the full original text was not reviewed. This article examines, through dogmatic legal interpretation, whether existing human rights law imposes enforceable duties of accountability and transparency on states and companies in relation to the human rights impacts caused by AI decision-making. With reference to the UNGP, ICCPR, EU AI Act, UNESCO Recommendation, India’s constitutional order, and the Digital Personal Data Protection Act of 2023, it proposes a governance gap and a human-rights-friendly design model.

Key Points from the Abstract

  1. The lack of enforceable audit and accountability mechanisms is presented as the core gap.
  2. The difficulty of remedies for rights violations and of assigning responsibility along the AI supply chain is pointed out.
  3. A human-rights-by-design governance model is proposed.

Relevance to AI Law and Policy

It offers direct reference points for reviewing accountability, transparency, human rights, and regulatory design in AI decision-making. It is useful for comparative legal and policy analysis.

Limitations to Consider

  • This can be confirmed only from the abstract, and the details of the arguments and evidence are unclear.
  • It is not confirmed from the abstract whether this is an empirical study.
  • No separate limitations are explicitly stated.

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

Abstract Preview
The proliferation of artificial intelligence across public and private sectors has positioned algorithmic decision-makin…
Read more in the abstract and original text

Original text and source

Original Title

Accountability and Transparency in AI Systems: A Human Rights Perspective

The Korean title on this page was translated by AI.
Database
Crossref
Original paperRead more in the original text