A multi-agent framework for verifiable AIGC licensing in digital ecosystems

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Gazi İktisat ve İşletme Dergisi
Cilt: 11 Sayı: 3
A multi-agent framework for verifiable AIGC licensing in digital ecosystems

A multi-agent framework for verifiable AIGC licensing in digital ecosystems

Authors : Mevlüt Uysal

Pages : 327-346

Doi:10.30855/gjeb.2025.11.3.009

View : 72 | Download : 418

Publication Date : 2025-10-27

Article Type : Research Paper

Abstract :The emergence of AI-generated content (AIGC) presents intricate difficulties concerning authorship, ownership, and validation of digital assets. These difficulties reveal a significant deficiency in existing governance frameworks, especially regarding the licensing and traceability of synthetic media. This study introduces a modular, multi-agent framework (MAG-AIGC) that utilizes Retrieval-Augmented Generation (RAG) and blockchain technologies to automate content registration, license interpretation, and provenance verification. The suggested architecture was formulated using the Design Science Research (DSR) approach and assessed over 30 relevant AIGC-licensing scenarios. Experimental findings indicate that the system attains up to 90% accuracy in licensing compliance detection, concurrently ensuring minimal latency and transaction costs. In addition to its technological contributions, the framework enhances trust, transparency, and accountability within the emerging AIGC ecosystem, providing actionable insights for regulators, creators, and platform developers to implement verifiable digital governance mechanisms and ensure reliability in AIGC-based commerce.
Keywords : yapay zeka, yapay zeka tarafından üretilen içerik (aigc), blok zinciri, çoklu ajan sistemleri, dijital varlıklar

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