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The open licensing industry is rapidly evolving, driven by the increasing need for accessible legal frameworks for digital content. Growth is propelled by open science, education, and cultural heritage initiatives. Emerging AI technologies are creating new demands for ethical data use and transparent licensing, pushing the industry to adapt and innovate.
Total Assets Under Management (AUM)
Global Open Access Publications in United States
~Approximately 50% of academic articles published globally are open access.
(15-20% CAGR)
Growth is driven by government mandates for open access, university policies promoting open research, and increased awareness among researchers of the benefits of wider dissemination.
100-200 Million USD
Generative AI models are capable of creating new content (text, images, audio) based on existing data, posing complex questions about copyright, attribution, and the origin of generated works.
Blockchain technology and Non-Fungible Tokens (NFTs) offer new mechanisms for proving ownership, provenance, and managing rights for digital assets, potentially creating decentralized licensing frameworks.
DAOs could enable new models for collective ownership, governance, and licensing of digital commons, allowing communities to manage shared intellectual property assets collaboratively.
The European Union's Artificial Intelligence Act is a comprehensive regulatory framework for AI, categorizing AI systems by risk level and imposing obligations, including transparency requirements for AI models that use copyrighted content for training.
This policy will compel AI developers and content providers in the US to consider the origins of their training data and potentially seek explicit permissions or adhere to specific attribution standards for CC-licensed works.
The US Copyright Office issued guidance clarifying that while AI-generated content is generally not copyrightable on its own, human-authored contributions within AI-assisted works may be eligible for copyright protection.
This guidance directly affects how creators using CC licenses will apply them to AI-assisted works, emphasizing the need for clarity on the human-authored components and potentially influencing the scope of what can be openly licensed.
This US federal law established the National AI Initiative, aiming to accelerate AI research and development through various programs, including those addressing ethical implications and data access.
This act promotes the responsible development of AI, aligning with Creative Commons' efforts through 'CC Signals' to encourage ethical and transparent use of licensed works in AI training datasets, potentially leading to increased demand for openly licensed data.
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