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Creators should have the right to know their audience.

Before the trilogue, COMMUNIA issued a statement, calling for a comprehensive approach on the transparency of training data in the Artificial Intelligence (AI) Act. COMMUNIA and the co-signatories of that statement support more transparency around AI training data, going beyond data that is protected by copyright. It is still unclear whether the co-legislators will be […]

A fifth round of the trilogue negotiations on the Artificial Intelligence (AI) Act is scheduled for October 24, 2023. Together with Creative Commons, and Wikimedia Europe, COMMUNIA, in a statement, calls on the co-legislators to take a holistic approach on AI transparency and agree on proportionate solutions. As discussed in greater detail in our Policy […]

That’s what we thought when we agreed to join the latest episode of the AI lab. podcast, fittingly titled “AI & the quest for transparency”. Over the course of 20 minutes, Teresa walks the listeners through some of the key questions when it comes to the training of generative AI models and how it affects […]

In April of this year we published our Policy Paper #15 on using copyrighted works for teaching the machine which deals with the copyright policy implications of using copyrighted works for machine learning (ML) training. The paper highlights that the current European copyright framework provides a well-balanced framework for such uses in the form of […]

Artificial intelligence (AI) has taken the world by storm and people’s feelings towards the technology range from fascination about its capabilities to grave concerns about its implications. Meanwhile, legislators across the globe are trying to wrap their heads around how to regulate AI. The EU has proposed the so-called AI Act which aims to protect […]

The surge of generative artificial intelligence has gone alongside a renewed interest in questions about the relationship between machine learning and copyright law. In our newly published policy paper #15 entitled “Using copyrighted works for teaching the machine” (also available as a PDF file), we are looking at the input side of the equation within the […]

Background We have witnessed a proliferation of (so-called) generative artificial intelligence (AI) models since OpenAI made DALL-E 2 available to the public in July 2022. This has gone alongside a renewed interest in questions about the relationship between machine learning (ML) and copyright law — as evidenced by a surge in publications on the topic […]