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
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
Antitrust agencies are increasingly interested in generative AI. This can be good news. As Sandy Pentland and I wrote last year (here), the competitive dynamics in this space can be supported by a careful antitrust agenda. While the AI Act should be improved if the EU wants innovation to flourish (see this article), enforcement actions...Read More
This contribution tackles the technology (what open source is), the market (how open source creates competitive pressure in generative AI), and the law (what should - and shouldn’t - be done about it)Read More
This short article serves as an introduction to Thibault Schrepel’s latest working paper, “Decoding the AI Act: A Critical Guide for Competition Experts” (open-access) *** Europe is experiencing a legislative frenzy. In recent months, European institutions have adopted or debated the Digital Markets Act (“DMA”), the Digital Services Act (“DSA”), the Data Act, the Data...Read More
This short article serves as an introduction to Thibault Schrepel and Sandy Pentland’s latest working paper, “Competition between AI Foundation Models: Dynamics and Policy Recommendations” (open-access)Read More
Counter-positioning is a business strategy in which a company positions itself in a way that its competitors are unwilling to replicate to avoid cannibalization. A well-known example of counter-positioning is Netflix’s policy not to charge late fees. In 2000, Blockbuster was earning a large portion of its revenue ($800 million) from late fees. When Netflix entered...Read More
In this 30-minute video, Thibault Schrepel, the Network Law Review’s creator, converses with Axel Voss, Member of the European Parliament and rapporteur on the AI Act. Together, they explore the main lines, approach, philosophy, and ambition of the forthcoming Artificial Intelligence Act. *** In a nutshell, here is what to make of the conversation. We addressed the following...Read More
*** Europe is getting ready to regulate artificial intelligence. The European Commission presented its proposal for regulation in April 2021 and the European Parliament published a first interim report in April 2022. The discussions are ongoing, and the stakes are enormous. There is no doubt that Europe will be the first continent to regulate AI....Read More
An excerpt from “Law + Technology” you can download here. *** 1. Hypothesis Instead of the classical “law & technology” approach, this article proposes to adopt a “law + technology” approach to explore the synergies between law and technology. “Law + technology” is based on a simple postulate: technology and law can better increase the...Read More
AI is a rapidly evolving technology that will have an increasing, and possibly overwhelming, impact on consumers, markets, and the economy. Antitrust regulators should monitor AI’s impact on markets and consider whether, and how, to take action to protect consumers and competition. For example, the AI-based systems of self-driving cars, which are now being tested...Read More
With each passing day, our societies become a little more digital. In this context, I decided to list free access resources to learn the fundamentals of computer science (basic programming, artificial intelligence, blockchain, cryptography…). These resources do not require any prior technical knowledge; they are all accessible, fun, and academic. I classified them per field of expertise and level....Read More
Introducing DALL·E In early January 2021, OpenAI introduced DALL·E, a trained neural network “that creates images from text captions for a wide range of concepts expressible in natural language.” DALL·E is a real technological breakthrough, “a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text-image pairs. […] It has...Read More
