copyright
Nobody is quite sure who owns what an AI makes News
Three separate documents on AI and copyright are being conflated into a single false claim that AI output cannot be owned, when the actual position on both sides of the Atlantic is narrower and identical: the test is human authorship, and it always was.
Training data attribution: which examples actually made the model do that? Lesson
Training data attribution is the set of techniques for tracing a model's output back to the specific training examples responsible for it, and the honest state of the art is that it often fails.
Many AI-generated images cannot be traced to any training example News
MIT researchers trained 24 diffusion models and measured how far you could perturb the training set before an output changed, finding that many generated images have no identifiable source in the training data at all, and that this gets more common as datasets grow.
A Munich Court Found Suno's Models Memorised Six Songs News
The Regional Court of Munich I largely granted GEMA's claims against Suno, holding that six well-known works were reproducibly stored in Suno's models and could be extracted through simple prompts, and assigning responsibility to Suno rather than its users.
Google loses its DMCA claim against a search scraper News
A federal judge dismissed both of Google's copyright anti-circumvention claims against SerpApi, ruling that a general anti-bot wall around non-copyrightable search results cannot be treated as a copyright access control.
Leaked Suno code names YouTube, Deezer, Genius and podcast RSS feeds as collection sources News
A hack of AI music generator Suno exposed source-code files and comments naming YouTube Music, Deezer, Genius, stock libraries and podcast RSS feeds as data collection targets, the most specific provenance evidence yet in the music industry's copyright fight.
Judge Grants Final Approval to Anthropic's $1.5 Billion Book-Piracy Settlement News
A federal judge granted final approval of Anthropic's $1.5 billion class settlement with authors, entered judgment, and ordered the pirated book files destroyed within 30 days.
Machine unlearning: how to make an AI forget Lesson
Machine unlearning is the problem of removing specific knowledge - a person's data, a copyrighted book, a dangerous capability - from a trained model without retraining it from scratch and without damaging everything else it knows.
Authors file a new $75M suit against Anthropic as scholars redefine what an AI 'copy' is News
Authors who opted out of Anthropic's $1.5 billion Bartz settlement filed a separate $75 million copyright suit over how their books were sourced, landing the same week two law scholars argued that AI weights may be 'probabilistic copies' the law hasn't defined yet.