The emerging regulatory landscape in the field of AI will substantially influence the construction of collective memory and play a critical role in shaping our “future’s past”. This contribution takes a close look at the traits of collective memory, maps its potential frictions with the emerging AI field, and demonstrates how multiple AI governance schemes—from...Read More
As the levels of speed and control of Generative AI tech increase to a degree that any media can be changed in real-time to the whim of the consumer, content is becoming interactive – each image its own canvas, each song its own instrument. Counter-intentionally, copyright appears to drive this new form of production towards...Read More
Artificial intelligence is not simply a hard regulatory problem, but a fundamentally different kind of object – a hyperobject. Like global warming or the internet, AI operates at scales of space, time, and complexity that exceed the conceptual and institutional boundaries of conventional regulatory systems. Traditional law and economics frameworks that are designed for bounded,...Read More
This essay examines how the EU’s Digital Markets Act unintentionally reshapes the foundations of generative AI. By barring gatekeepers from relying on “legitimate interest” as a legal basis for processing personal data, the DMA creates a fragmented two-tier regime: smaller firms retain flexibility, Europe’s largest AI deployers face structural limits on scale. The piece argues...Read More
The Network Law Review is pleased to present a special issue entitled “The Law & Technology & Economics of AI.” This issue brings together multiple disciplines around a central question: What kind of governance does AI demand? A workshop with all the contributors took place on May 22–23, 2025, in Hong Kong, hosted by Adrian...Read More
AI systems now perform core compliance tasks once reserved for humans. Prof. Ohm argues that this will drive the marginal cost of regulatory compliance toward zero. The claim is grounded in the nature of compliance work, a walkthrough of automatable duties under the EU AI Act, and a Hamburg court’s embrace of LLM-enabled “machine-readable” opt-outs....Read More
This paper explores patterns from the Stanford Computational Antitrust project’s fourth annual report, which includes contributions from 25 agencies worldwide. The findings reveal that most agencies are converging around similar technological solutions, particularly large language models and machine learning tools, and face common challenges related to explainability, data security, and organizational adaptation. The analysis suggests...Read More
The European Union’s AI Act is one of the first attempts to regulate artificial intelligence technologies. Given that previous European digital regulations, such as the GDPR, have influenced laws all over the world, can we expect to see the AI Act as a global standard? This article argues that there are good reasons to believe...Read More
The year 2024 marked a pivotal moment as antitrust agencies accelerated their efforts in generative AI (see our database). AI partnerships have drawn significant attention in the space, with the CMA, DOJ, European Commission, and other agencies launching investigations and issuing their first decisions. These agencies have been addressing AI partnerships on a case-by-case basis—a...Read More
Context: In Aldous Huxley’s Brave New World, the World State is governed by ten men known as World Controllers. They oversee a society where stability, order, and happiness are preserved at the expense of individuality, freedom, and genuine human emotion. The following piece is satirical and should be interpreted accordingly. It has been written in...Read More
This short article serves as an introduction to the working paper by Thibault Schrepel and Jason Pott entitled “Measuring the Openness of AI Foundation Models: Competition and Policy Implications” *** Antitrust agencies are showing a strong interest in AI foundation models and Generative AI (“GenAI”) applications. They want to ensure that the AI ecosystem remains...Read More
Dear readers, the Network Law Review is delighted to present you with this month’s guest article by Daron Acemoglu, Institute Professor of Economics at MIT, and Simon Johnson, Professor of Entrepreneurship at the MIT Sloan School of Management *** There is widespread agreement that social media has become a major social problem. The original hope was...Read More
The Network Law Review is proud to support the “Scaling Theory” podcast created by Dr. Thibault Schrepel, LL.M. and available on your favorite platforms (Spotify, Apple, YouTube). The podcast is dedicated to exploring the power laws behind the growth of businesses, technologies, legal systems, and living systems. It will feature scholarly discussions with select guests...Read More
The Network Law Review is pleased to present a symposium entitled “Dynamics of Generative AI,” where lawyers, economists, computer scientists, and social scientists gather their knowledge around a central question: what will define the future of AI ecosystems? To bring all this expertise together, a conference co-hosted by the Weizenbaum Institute and the Amsterdam Law...Read More
The Network Law Review is pleased to present a symposium entitled “Dynamics of Generative AI,” where lawyers, economists, computer scientists, and social scientists gather their knowledge around a central question: what will define the future of AI ecosystems? To bring all this expertise together, a conference co-hosted by the Weizenbaum Institute and the Amsterdam Law...Read More
