Generative AI can produce outputs potentially competing with human-created content. AI can also facilitate the manipulation of creative works, potentially infringing copyright or misleading users. Increasing transparency of AI generated or manipulated content may help to distinguish between human-created and machine-generated content and inform new practices for content dissemination and consumption.

Challenges related to the availability of quality data for AI applications and to the accuracy and reliability of cultural content should be investigated and addressed. In particular, the development of Generative AI technologies requires access to vast amounts of content that is often still protected by copyright. One of the challenges in this context is linked to the difficulty to identify copyrighted works, rightsholders and information on how their works may be used. The purpose of the insights gained is to inform novel practices for managing AI-generated content in cultural and creative fields, including the preservation of valuable outputs, such as artworks created by using AI, and to inform the establishment of adequate policy and legal frameworks and infrastructures.

Proposals should primarily address the following dimensions:

• Investigate and identify emerging trends, including through scenario analysis, and estimate the economic and social implications and impact of AI-generated outputs on the creative content market and related services, and on different actors and sectors, with a special focus on creators’ rights, earnings, allocation of royalties, as well as on diversity, inclusion, consumption and user perception of cultural products and services.
• Examine and propose policy and legal frameworks to ensure a sustainable and innovative creative sector in the age of AI.
• Propose standards and robust solutions to map the generative-AI supply chain, identify, trace and find trusted content, and ensure authenticity; tools for strengthening consent, control, rights management and compensation for the use of artistic and creative data in AI; suggest other measures to ensure a fair and transparent market for cultural and creative content, including solutions to increase the discoverability of trustworthy cultural and creative content, including copyright protected content that could be used for the AI training.
• Investigate new, efficient ways to redefine value creation and transformed business models. This includes looking at uncovering opportunities that support human creation, and increase profitability, while providing frameworks for the distribution of AI-generated and/or assisted creative content, and measures for long term preservation of valuable works created with the use of AI.
• Systemic and agile innovation: propose a validated framework to experiment, design, prototype and test new business models that can adapt to a rapidly evolving market, are resource efficient, and comply with ethical and regulatory frameworks.

By integrating these findings and insights, risks associated with generative AI can be mitigated and new positive prospects developed. Insights gained are expected to contribute to the EU’s global leadership in creativity and innovation.