Category

Artificial intelligence

Anouk van der Veer and Friso Bostoen: “Two Views on Regulating Competition in Generative AI”

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

Paul Seabright: “Artificial Intelligence and Market Power”

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

Flavio Calvino and Chiara Criscuolo: “Generative AI And Productivity: Challenges, Opportunities And The Role of Policy”

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

Axel Voss: “What New Legal Rules Could Foster Competition and Innovation Dynamics In The Generative AI Ecosystem?”

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

Christopher S. Yoo: “Generative AI’s Potential Impact on Online Competition”

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

Jason Potts: “Sources of Innovation in Generative AI”

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

A Database of Antitrust Initiatives Targeting Generative AI

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

The Fight for Open Source in Generative AI

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

What competition experts should know about the AI Act

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

Competition Between AI Foundation Models

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

Competition Is One Prompt Away

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

The AI Act: A Conversation with Axel Voss from the European Parliament

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

A proposal to improve the European AI Act

*** 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

Law + Technology

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

“How should antitrust agencies approach AI?” (an article written by a very special guest)

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
1 2 3