Earticle

초록

영어

This paper synthesizes the status quo—namely the non-recognition of copyright for purely AI-generated results in Korea—emerging information-disclosure obligations, and policy alternatives such as provenance labeling, watermarking, and text-and-data-mining (TDM) governance, and presents an actionable blueprint for regulators and creators. Building on doctrinal analysis of Korea’s Copyright Act and pending National Assembly amendment texts (2024–2025), policy guidance on registration of AI-assisted works, and a comparative scan of U.S., Canadian, Indian, and other international positions, the study clarifies how human authorship remains a baseline requirement while AI-generated material increasingly permeates cultural production. First, it reconstructs the normative debates for and against protection of AI-generated works, including arguments about data ownership, the public domain, and the equivalence and contribution of AI outputs to cultural development. Second, it examines global trends in AI art creation and authorship through key cases and technologies such as Naruto v. Slater, Google DeepDream, GAN/CAN-based artistic systems, and the U.S. Copyright Office’s refusal to register A Recent Entrance to Paradise. Third, it identifies four core issues for Korean law: the non-protection of purely AI-generated works, the threshold of human contribution in AI-assisted works, the legality of training datasets and TDM uses, and the balance between creator protection and innovation incentives. On this basis, the paper proposes a disclosure-and-accountability regime for Korea comprising standardized AI-use labeling and machine-readable provenance metadata, registration gatekeeping via human-contribution statements and logs, TDM governance using opt-out or collective licensing mechanisms, and the application of ordinary copyright liability rules to infringing AI outputs. Tables and conceptual figures compare policy options and summarize expected effects on transparency, legal certainty, and industrial predictability. The study concludes that a disclosure-first model which preserves the human-authorship baseline while improving transparency and training-data governance offers a pragmatic near-term path for aligning AI innovation with sustainable cultural and creative industries.

목차

Abstract
1. Introduction
2. Existing Debates on Protection of AI-Generated Works
2.1 Positivity toward Protection of AI Creations
2.2 Data Ownership and the Public Domain
2.3 Equivalence and Cultural Contribution of AI Creations
3. Global Trends in AI Art Creation and Authorship
3.1 Continental vs Anglo-American Copyright Traditions
3.2 Naruto v. Slater: Animal Authorship and Human Requirement
3.3 GAN vs CAN and AI Art Systems
3.4 Google DeepDream and Algorithmic Visualization
3.5 A Recent Entrance to Paradise and Human Authorship Requirement
4. Proposal: A Disclosure-and-Accountability Regime for Korea
4.1 Core Principles
4.2 Policy Tools
4.3 Rights Allocation and Incentives
5. Results: Comparative Evaluation
5.1 Comparative Policy Landscape
5.2 Expected Effects of the Korean Regime
6. Conclusion
References

키워드

저자

• Jeon Sur [ The PhD’s Course, Graduate School of Hongik University, Seoul, Korea ]
• HUNHYUNG LEE [ Professor, Graduate School of Hongik University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380