SSOAR Logo
    • Deutsch
    • English
  • Deutsch 
    • Deutsch
    • English
  • Einloggen
SSOAR ▼
  • Home
  • Über SSOAR
  • Leitlinien
  • Veröffentlichen auf SSOAR
  • Kooperieren mit SSOAR
    • Kooperationsmodelle
    • Ablieferungswege und Formate
    • Projekte
  • Kooperationspartner
    • Informationen zu Kooperationspartnern
  • Informationen
    • Möglichkeiten für den Grünen Weg
    • Vergabe von Nutzungslizenzen
    • Informationsmaterial zum Download
  • Betriebskonzept
Browsen und suchen Dokument hinzufügen OAI-PMH-Schnittstelle
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Volltext herunterladen

(externe Quelle)

Zitationshinweis

Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.17645/mac.9420

Export für Ihre Literaturverwaltung

Bibtex-Export
Endnote-Export

Statistiken anzeigen
Weiterempfehlen
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Prompting Creativity: Tiered Approach to Copyright Protection for AI-Generated Content in the Digital Age

[Zeitschriftenartikel]

Jon, WooJung

Abstract

The rapid advancement of AI has fundamentally transformed the creative landscape, challenging traditional notions of authorship and copyright. As AI systems become increasingly capable of generating original content across diverse domains - including art, music, and literature - the legal frameworks... mehr

The rapid advancement of AI has fundamentally transformed the creative landscape, challenging traditional notions of authorship and copyright. As AI systems become increasingly capable of generating original content across diverse domains - including art, music, and literature - the legal frameworks governing intellectual property rights are struggling to keep pace. This article proposes a novel, unified, and tiered approach to copyright protection for AI prompts and AI-generated content, based on the level of human creative input required. By conducting a comprehensive analysis of legal, technical, and ethical considerations, this article explores the complex interplay among human creativity, AI technology, and intellectual property rights in the digital age. Its contributions are threefold: it conceptualizes AI prompts as potentially copyrightable works, recognizing the significant creative effort involved in their design; it develops a multifaceted framework for assessing creativity in AI prompts, addressing a critical gap in current copyright paradigms; and it proposes a tiered protection system correlating copyright scope with the degree of human creative input, offering a nuanced approach to safeguarding intellectual property in AI-generated content. This article further examines the economic and societal implications of protecting AI prompts, anticipating the emergence of new markets and professions while addressing potential abuses such as "prompt trolling." It emphasizes the delicate balance between protecting intellectual property and fostering innovation, highlighting the importance of maintaining a robust public domain to encourage experimentation and advancement in AI technologies. The findings provide a foundation for future policy development and offer practical recommendations for implementing prompt protection and registration systems.... weniger

Thesaurusschlagwörter
künstliche Intelligenz; geistiges Eigentum; Urheberrecht; Kulturwirtschaft; neue Technologie

Klassifikation
Technikfolgenabschätzung
interaktive, elektronische Medien
Medienpolitik, Informationspolitik, Medienrecht

Freie Schlagwörter
AI; AI prompt; AI-generated content; creative industries; legal framework; prompt engineering

Sprache Dokument
Englisch

Publikationsjahr
2025

Zeitschriftentitel
Media and Communication, 13 (2025)

Heftthema
AI, Media, and People: The Changing Landscape of User Experiences and Behaviors

ISSN
2183-2439

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.