Opt-out registries LINKS provided
Protocoles d’opt-out : une présentation pour mieux comprendre les enjeux | PEReN
USA: Reports of the Copyright Office : Copyright and Artificial Intelligence | U.S. Copyright Office
Copyright and Artificial Intelligence, Part 2 Copyrightability Report
The Economics of Copyright And AI - Empirical Evidence
In-Depth Analysis, requested by the JURI Committee of the European Parliament
Published December 2025
Here is a short, introductory-style summary of Peukert’s report:
This report examines how copyright policy should evolve in the age of generative AI. Drawing on empirical research and economic modelling, Peukert shows that AI systems rely heavily on high-quality, often copyrighted human-created data, making the long-term incentive to create new content a central policy concern. Historical and contemporary evidence suggests that while strict copyright can limit access, it remains important for sustaining the future supply of creative works.
The analysis compares several policy options — broad exceptions, opt-out systems, licensing models and statutory licensing — and concludes that opt-out regimes are economically inefficient, as they provide no compensation to creators and risk reducing data availability over time. A statutory licensing framework performs best in the model: it preserves wide access to training data while ensuring remuneration for rightsholders, thereby supporting both AI development and continued creative production.
The Economcis of Copyright and AI Prof. Christian Peukert
AIPPI Resolution - 2025 – Study Question -Copyright - AI & Copyright
The resolution addresses the intersection between artificial intelligence (AI) technologies and copyright law.
Date : 16 September 2025
Q295-Adopted-Resolution_Copyright_2025.pdf
List of of AI models who will be subject to the requirements of the AI Act
Trained with trained with over 1025 floating-point operations (FLOP) of compute.
Over 30 AI models have been trained at the scale of GPT-4 | Epoch AI
Generative AI and Copyright Training, Creation, Regulation
Report requested by the JURI Committee of the European Parliament
This study examines how generative AI challenges core principles of EU copyright law. It highlights the legal mismatch between AI training practices and current text and data mining exceptions, and the uncertain status of AI-generated content. These developments pose structural risks for the future of creativity in Europe, where a rich and diverse cultural heritage depends on the continued protection and fair remuneration of authors. The report calls for clear rules on input/output distinctions, harmonised optout mechanisms, transparency obligations, and equitable licensing models. To balance innovation and authors’ rights, the European Parliament is expected to lead reforms that reflect the evolving realities of creativity, authorship, and machine generated expression. This study was commissioned by the European Parliament’s Policy Department for Justice, Civil Liberties and Institutional Affairs at the request of the Committee on Legal Affairs.
Generative AI and copyright | Workshops | Events | JURI | Committees | European Parliament
Reduced traffic on websites due to AI (July 2025)
The video by Matthew Prince, Cloudflare CEO alongside the press release is worth watching. He addresses the problem of reduced traffic and the stats are stunning. He noted that:
More posts from Cloudflare:
Matthew Prince: The 100 Most Influential People in AI 2025 | TIME
https://blog.cloudflare.com/crawlers-click-ai-bots-training/
https://blog.cloudflare.com/ai-crawler-traffic-by-purpose-and-industry/
IETF working groups
https://datatracker.ietf.org/wg/aipref/about/
https://datatracker.ietf.org/wg/webbotauth/about/
With interactive Content Signals site with demo how future IETF standards could work in practice:
IPTC AI opt-out Best Practices
IPTC publishes best-practice guidance on Generative AI opt-out for publishers - IPTC
Stock Photography v. AI (April 2025)
The Silent Collapse: Generative AI’s Erosion of Photo Licensing Revenue
BBC Study on GenAI (February 2025)
New BBC research published today provides a warning around the use of AI assistants to answer questions about news, with factual errors and the misrepresentation of source material affecting AI assistants.
The findings are concerning, and show:
What percent of internet traffic is bots?
Research highlights: In 2023, bots made up 49.60% of internet activity, almost catching up to human traffic, which was at 50.40%. Out of all internet traffic, bad bots accounted for 32%, while good bots were 17.60%. The U.S. faced the most bot attacks worldwide, with 47% of the total.
What Percent of Internet Traffic is Bots?
Reddit leaked memo "Google “We Have No Moat, And Neither Does OpenAI”
Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI
Google “We Have No Moat, And Neither Does OpenAI” – SemiAnalysis