Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy
Identification
- Public canonical key
- doi:10.7753/ijcatr1012.1014
- Authors
- —
- Reported year
- 2025
- Reported language
- en
- Source type
- article
- First detected
- 2026-11-09T19:04:47.786181+00:00
- Last metadata observation
- 2026-11-09T19:04:47.786181+00:00
- Last HTTP verification
- Not checked
Documentary abstract — original language
The rapid advancement of artificial intelligence (AI) has revolutionized creativity, invention, and knowledge production, challenging traditional paradigms of intellectual property rights (IPR) and ownership.As AI systems increasingly generate original artistic, literary, and technical works autonomously, existing legal frameworks rooted in human authorship and inventorship struggle to maintain relevance.This paper analyzes how intellectual property regimes are adapting to AI-created works and automated innovation within the global knowledge economy.From a broad perspective, it examines the evolving intersection between AI, creativity, and legal accountability, exploring how international conventions such as the Berne Convention, TRIPS Agreement, and WIPO initiatives are addressing non-human authorship and cross-border innovation governance.The study then narrows its focus to assess the emerging debates surrounding copyright, patentability, and moral rights in AI-generated outputs.It investigates whether AI systems should be recognized as inventors or merely as tools under human supervision, and how such recognition or lack thereof impacts innovation incentives, liability, and commercialization [e.g., in automated design and pharmaceutical discovery].Additionally, it evaluates national legal experiments, including the European Union's AI Act, the U.S. Copyright Office's guidelines on machine-created works, and China's evolving patent approach to AI-assisted inventions.The paper highlights persistent conflicts over originality, ownership, and accountability, emphasizing the need for coherent policies that balance technological advancement with equitable rights distribution.Ultimately, the research proposes a dynamic, hybrid IPR model that recognizes human-machine collaboration as a continuum rather than a dichotomy, fostering an inclusive and innovation-driven global knowledge ecosystem.
Identifiers
- OPENALEX
- W4415310783
- DOI
- 10.7753/ijcatr1012.1014
Documentary context
- Documentary family
- Scholarship
- Source-reported types
- article
- Natural entities mentioned
- Ecosystem
Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.
Sources
OpenAlex · Record 1 · Record 2
Documented bibliographic relations
Source-declared references and links; they do not establish legal support or UGLC qualification. Up to 20 outgoing references are displayed.
- openalex:w4414183488 · CITES
0 incoming references within the detected corpus
Documentary field provenance
Source-backed values and values with unresolved provenance are kept separately. Bibliographic provenance validates no legal claim.
- Title
- Documentary source reported
- Publication
- Documentary source reported
- Authors
- Not recorded
- Document type
- Documentary source reported
- Jurisdiction
- Not recorded
- Court
- Not recorded
- Issuing authority
- Not recorded
- Publisher
- Not recorded
- DOI
- Documentary source reported
- ISBN
- Not recorded
- Official identifier
- Not recorded
- Source URL
- Documentary source reported
- Source-reported status
- Not recorded
- Amendment / repeal
- Not recorded
Cite this reference
Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy. 2025. https://doi.org/10.7753/ijcatr1012.1014
JSON · CSL-JSON · BibTeX · RIS · CSV · JSON-LD ·
APA, Chicago, ISO 690: bibliographic formats using available fields. OSCOLA / Bluebook: structured data only; full legal citation compliance is not claimed without verification of required elements.
- APA
- (2025). Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy. https://doi.org/10.7753/ijcatr1012.1014
- Chicago
- Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy. 2025. https://doi.org/10.7753/ijcatr1012.1014
- ISO 690
- Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy. 2025. https://doi.org/10.7753/ijcatr1012.1014
UDTR Global Rights of Nature Legal Library. Analyzing Intellectual Property Rights Adaptation to Artificial Intelligence-Created Works and Automated Innovation in the Global Knowledge Economy. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-2f478cbb33b67f73b88e9786d4d360ff/ · Last HTTP verification: not performed
Field provenance and record version
Version dd55c1516f2f3d8c · udtr-reference-1.1.2
- Title
- OpenAlex · source · 2026-11-09T19:04:47.786181+00:00
- Year
- OpenAlex · source · 2026-11-09T19:04:47.786181+00:00
- Identifiers
- OpenAlex · source · 2026-11-09T19:04:47.786181+00:00
- Source URL
- OpenAlex · source · 2026-11-09T19:04:47.786181+00:00
History tracks record metadata and does not certify the state of the law.
31bd179abb582e4a · 2026-11-09T19:04:47.786181+00:00
29ee01912ddcdd66 · 2026-11-09T19:04:47.786181+00:00
7182acb3e423a388 · 2026-11-09T19:04:47.786181+00:00
dd55c1516f2f3d8c · 2026-11-09T19:04:47.786181+00:00
Research dossiers and documentary relations
Source roles
Discovery source · https://doi.org/10.7753/ijcatr1012.1014
Discovery source · https://openalex.org/W4415310783
An authority link alone does not verify a legal claim. Abstracts and full texts remain subject to their source terms.
Documentary status
Relevance pending
Library
This identity is not yet included in the Legal Library.