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Competition

Artificial Intelligence, Data and Competition

 

  12 June 2024  Paris

Recent developments in generative artificial intelligence (AI) have drawn widespread attention to the broader disruptive potential of AI as a technology. With its increasing capabilities, and the prospect of more in the future, AI has the potential to have a significant impact on economies, and humanity in general, across the globe. These developments have led to many speculating on the future prominent place AI will take in many, if not all, aspects of human lives in the coming years and decades.

Given the spotlight on its potential as a transformative technology, policy makers are already considering how to manage risks from AI, including those relating to privacy, ethics and disruption. Competition policy has not been immune from such considerations, with many commentators, and competition authorities themselves, already considering if there may be risks to the state of competition in the provision of AI services. Given the potential importance of continued innovation and equitable access to AI technology, and the potential time required for authorities to understand the relevant issues, now is an opportune time to discuss AI and competition.

In June 2024, the OECD will hold a discussion on Artificial Intelligence, Data and Competition to discuss the recent developments in AI, explore potential concerns about future competition and consider what actions are available for authorities to take. To understand such issues, an understanding of the key mechanics of AI technology is important, and a panel of invited experts will discuss the main aspects of emerging business models of the main players and the key parts of the production process.

The discussion will try to address:

  • The emergence of AI and its business models: What is AI and the key parts of the valuechain? What is required to successfully develop AI models and deploy them? What are/willbe the business models underpinning the development of AI?
  • Competition in the supply of AI: How do/will firms compete at different stages of the value chain? Are there risks to effective competition in the supply of AI, for example through the availability of key inputs? Are there parallels to be drawn with digital markets?
  • Competition policy and enforcement in AI: What could competition authorities do in the face of AI developments? What are the practical options for enforcement or advocacy of competition law from AI?

This page contains all related materials.

See the full list of best practice roundtables on competition.

Invited speakers

Yong Lim Bio  
Professor of Economic Law, Seoul National University School of Law

Clara Neppel Bio  
Senior Director, IEEE

Thibault Schrepel Bio  
Associate Professor of Law, Vrije Universiteit Amsterdam University

Documents 

Background Note

Contributions from delegations

Austria

Türkiye

Peru

Singapore

BIAC

Summaries of contributions

 

Related material

Algorithmic competition (2023)

Theories of harm in digital mergers (2023)

Algorithms and collusion (2017)

See also

OECD best practice roundtables on competition

Digital economy and innovation

More OECD work on AI

 

 

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