Millions of books, articles, and images are incorporated into AI systems, often without the knowledge or consent of their creators. In its Position Statement of 25 June 2026, the Institute set forth clear demands on this issue, responding to a consultation by the European Commission on copyright reform in the age of AI.
When can corporate lobbying be considered anti-competitive conduct under Articles 101 and 102 of the TFEU? This is the question Francisco E. Beneke Avila attempts to answer in his latest article.
All too often, forests are reduced to a single figure: the amount of CO₂ they store. However, a new review in Science, to which the Net Zero Lab contributed, shows that forests do much more than that. They help mitigate climate change by cooling the local environment, regulating water cycles, and improving human health and well-being. The effects vary depending on the environmental context, with important implications for forest management and climate adaptation strategies.
The Munich Summer Institute 2027 will take place from 31 May through 3 June 2027: the Ph.D. Workshop on 31 May and the main conference from 1 to 3 June. Then in its eleventh year, the MSI has established itself as one of the leading forums for research at the intersection of economics, management, law, and related disciplines, bringing together researchers from around the world for three days of intensive academic exchange. This will also mark the sixth time that an MSI Ph.D. Workshop will be held – a platform for emerging young scholars.
The European Research Council (ERC) has announced the winners of its 2026 Starting Grant competition. The ERC will award 1.5 million euros to Benedict Probst, Head of the Net Zero Lab at the Max Planck Institute for Innovation and Competition. Within the framework of his project COMPASS, artificial intelligence will be used to continuously examine, on a large scale, whether carbon credits actually deliver the promised climate benefits.
Four years ago, at the start of Russia’s full-scale invasion of Ukraine, Kateryna Militsyna left her home country with a single suitcase and took up a fellowship at the Institute. What followed was not only a successful doctoral dissertation on generative AI and copyright law, but also a profound personal journey of starting over in an unfamiliar country. In this interview, now a Senior Research Fellow at the Institute, she reflects on resilience, research, and the lessons that extraordinary circumstances can teach.
Law comparison does not mean copying other countries’ models. It shows how different countries address the same legal challenges – and what outcomes result. That was precisely the focus of the international symposium “Global Perspectives on Intellectual Property Law – Public Health, Fair Competition, and Artificial Intelligence,” held on 3 July 2026 at the Judicial Academy of the State of Rio de Janeiro (EMERJ).
Lu, TianMalicious Initiation of Intellectual Property Civil Litigation in China: The Emerging Jurisprudence of the Supreme People's Court Queen Mary Journal of Intellectual Property 17.1 (2027), forthcoming 01.01.2027.
Journal articles
Lu, TianAI Hallucinations, Commercial Misinformation and User Liability Under Chinese Unfair Competition Law: Alibaba V LI Journal of Intellectual Property Law & Practice 2026, 15.09.2026.
Research Papers
Drexl, JosefPosition Statement of the Max Planck Institute of 25 June 2026 on the Future Copyright Framework in Times of Generative AI (Max Planck Institute for Innovation & Competition Research Paper, No. 26-10), 2026, 42 S., 04.08.2026 (gemeinsam mit Kateryna Militsyna, Gil Dagan).
Leukhina, Anastasiya; Lutsenko, Anastasiia; Otrishchenko, Natalia; Tsybuliak, Natalia; Yashkina, Daria (2026). The Resilient Garden: Supporting Academia in Crisis, International Higher Education (128).
Articles in Refereed Journals
Slowinski, Peter R. (2026). Developing Jurisprudence by Taking Tiny Steps – The FRAND Defence III Decision of the German Federal Court of Justice IIC - International Review of Intellectual Property and Competition Law 2026, forthcoming.
Articles in Refereed Journals
Stürenburg, Finn; Forster, Kerstin; Banholzer, Nicolas; Toetzke, Malte; Harttgen, Kenneth; Feuerriegel, Stefan (2026). Tracking Funding Disparities in Global Health Aid with Machine Learning Nature Communications, 17.