A growing number of companies offer artificial intelligence-powered revenue management platforms, which leverage big data and sensitive business information from multiple firms to optimize pricing, output, and other operational decisions for their clients. Over the past 18 months, dozens of antitrust lawsuits have alleged that such platforms facilitate price-fixing among rivals. Barak Orbach explores the strength of the allegations and the antitrust implications of such revenue management platforms.
Environmentally conscious critics of artificial intelligence worry about the massive amounts of energy and fresh water its data centers require. Alessio Terzi writes that in the long term, and with the help of government regulation, the benefits of AI-accelerated innovation will outweigh the short-term environmental costs we now observe.
Elon Musk recently sued OpenAI over claims that the company has strayed from its social mission and has instead focused on profit maximization. Roberto Tallarita examines how Musk’s lawsuit shows well-intentioned corporate planners how hard it is to commit to an effective and enforceable social purpose and warns policymakers that relying on corporate self-regulation of AI could be a fatal mistake.
In new research, Christian Peukert and Margaritha Windisch review how copyright laws and practices have evolved to adapt to new technologies and discuss the various issues scholars and policymakers must address as copyright law is once again forced to adapt to the emergence of artificial intelligence.
In light of the rise of generative artificial intelligence (AI) and recent debates about the socio-political implications of large-language models and chatbots, Manuel Wörsdörfer analyzes the strengths and weaknesses of the European Union’s Artificial Intelligence Act (AIA), the world’s first comprehensive attempt by a government body to address and mitigate the potential negative impacts of AI technologies. He recommends areas where the AIA could be improved.
Axel Gautier, Ashwin Ittoo, and Pieter van Cleynenbreugel write that the practice of pricing algorithms tacitly colluding remains theoretical for now, and technological obstacles render it very unlikely in the short term. However, regulators must still prepare for a future in which artificial intelligence achieves the necessary sophistication to collude.
Companies increasingly use sophisticated computational tools to compete, particularly in digital markets. Giovanna Massarotto outlines how antitrust agencies must similarly modernize and adopt advanced technologies to address complex antitrust enforcement challenges effectively and remain relevant.
The growing use of artificial intelligence to price insurance could erode basic legal protections built into the law to protect both individuals and the...