Gradiant (GRAD) is a private RTO based in Vigo, Spain, with strong foundations on telecommunications and related ICT disciplines. GRAD aims to improve the competitiveness of companies through transfer of knowledge in the areas of connectivity, intelligence, and security. Over the last 15 years, GRAD has developed more than 340 different R&D&I projects, which includes over 45 European projects, becoming one of the main drivers of technological innovation in Galicia (Spain). As technology provider, GRADIANT develops AI software development, interoperable and exchange platforms, data analytics and cybersecurity frameworks.
Moreover, Gradiant can contribute technologies and methodologies to improve transparency, authenticity, and trust in AI-generated and manipulated creative content, supporting fairer and more sustainable cultural and creative ecosystems.
Manipulation detection tools: development of forensic AI technologies for the detection of AI-generated and manipulated multimedia content, including synthetic images, audio, video, and altered creative assets, enabling differentiation between human-created and machine-generated works.
Content provenance interoperability: development of interoperable provenance and authenticity infrastructures aligned with emerging standards (e.g., C2PA) to enable trusted exchange, verification, and cross-platform traceability of journalistic and creative media assets across European digital ecosystems.
Creative assets protection systems: creation of provenance, traceability, and authenticity mechanisms through digital watermarking, robust hashing, and forensic analysis tools that support trusted content identification, copyright protection, and transparent tracking of creative assets across the generative AI supply chain.
Manipulation assessments: development of tools and benchmarking environments for evaluating manipulation risks, content authenticity, and misuse scenarios in cultural and creative sectors, supporting trustworthy dissemination, preservation, and long-term stewardship of AI-assisted or AI-generated creative works.
Policy Frameworks and Recommendations for Trustworthy Generative AI in CCSI
Policy governance frameworks: support the definition of adaptive policy and governance frameworks by translating technical insights from AI-generated content detection, provenance analysis, and transparency mechanisms into actionable recommendations for trustworthy, ethical, and sustainable use of generative AI in cultural and creative sectors.