Abstract
“Artificial Intelligence and Competition Policy” features 20 chapters by distinguished economists and lawyers exploring a wide range of questions bearing on the implications of AI for the competitive process.
These chapters are organized into three sections that reflect the depth of the subject. The first section, “Market Dynamics, Mergers, and Partnerships in AI,” delves into the intricate ways AI is reshaping market structures, driving mergers and acquisitions, and fostering strategic partnerships. The second section, “AI Challenges for Competition Law,” addresses the novel challenges AI poses to existing competition frameworks, including market definitions, algorithmic collusion, and predatory pricing. The final section, “Policy Responses to the AI Boom,” examines the various policy mechanisms and regulatory strategies designed to harness the benefits of AI while mitigating potential risks.
These chapters are organized into three sections that reflect the depth of the subject. The first section, “Market Dynamics, Mergers, and Partnerships in AI,” delves into the intricate ways AI is reshaping market structures, driving mergers and acquisitions, and fostering strategic partnerships. The second section, “AI Challenges for Competition Law,” addresses the novel challenges AI poses to existing competition frameworks, including market definitions, algorithmic collusion, and predatory pricing. The final section, “Policy Responses to the AI Boom,” examines the various policy mechanisms and regulatory strategies designed to harness the benefits of AI while mitigating potential risks.
| Original language | English |
|---|---|
| Publisher | Concurrences |
| Number of pages | 418 |
| ISBN (Print) | 978‐1‐954750‐42‐5 |
| Publication status | Published - 12 Nov 2024 |