II · 1 Selected Research Projects Outlook Recent years have seen the challenge of predicting advancements in AI, including GenAI. Many technical aspects of the output production by GenAI, such as the propensity of artificial neural networks to “memorize” the input, require clarification before their implications for IP law can be scrutinized. While AI capabilities are often contrasted with those of humans, particularly in terms of the capacity to create or invent, it appears more pertinent to view GenAI applications as a complex interaction between humans and technologies. The challenge lies in defining just how much human involvement is required to warrant entitlement to authorship or inventorship. While ongoing discussions about new forms of IP protection face challenges due to a lack of robust justification, a more pressing matter is addressing the disparities in the supply and demand for input data. It is also clear that AI innovation cuts across all legal domains and that, apart from IP law, liability and safety frameworks (in the EU, the draft AI Liability Directive for fault-based liability, the revised product liability framework and the new AI Act targeting AI safety challenges) are gaining particular prominence in shaping research and innovation activity in the field of AI. To examine the innovation implications of the interactions between IP and these frameworks would be very timely. B The project’s objective is to analyze whether the current IP framework should be redesigned in light of AI developments, and if so, how. Project Leaders Josef Drexl, Reto M. Hilty Project Participants Yiqiong Chen, Artha Dermawan, Begoña González Otero, Jörg Hoffmann, Daria Kim, Shraddha Kulhari, Silke von Lewinski, Kateryna Militsyna, Valentina Moscon, Heiko Richter, Peter R. Slowinski, Klaus Wiedemann Project Duration Since 2019 Publications Drexl, Josef; Luc Desaunettes-Barbero; Jure Globocnik; Begoña González Otero; Reto M. Hilty; Jörg Hoffmann; Daria Kim; Shraddha Kulhari; Heiko Richter; Stefan Scheuerer; Peter R. Slowinski; Klaus Wiedemann, Artificial Intelligence and Intellectual Property Law – Position Statement of the Max Planck Institute for Innovation and Competition of 9 April 2021 on the Current Debate 2021 (Max Planck Institute for Innovation & Competition Research Paper, No. 21-10), 2021, 26 pages, http://dx.doi.org/10.2139/ssrn.3822924, 14.04.2021. Drexl, Josef; Reto M. Hilty; Daria Kim; Peter R. Slowinski, Artificial Intelligence Systems as Inventors? A Position Statement of 7 September 2021 in View of the Evolving Case-Law Worldwide (Max Planck Institute for Innovation & Competition Research Paper, No. 21-20), 2021, 11 pages, http://dx.doi.org/10.2139/ ssrn.3919588, 10.09.2021. Kim, Daria, The Paradox of the DABUS Judgment of the German Federal Patent Court, GRUR International – Journal of European and International IP Law 71, 12 (2022), 1162–1166. Kim, Daria; Maximilian Alber; Man Wai Kwok; Jelena Mitrović; Cristian Ramirez-Atencia; Jesús Alberto Rodríguez Pérez; Heiner Zille, Clarifying Assumptions About Artificial Intelligence Before Revolutionising Patent Law, GRUR International – Journal of European and International IP Law 71, 4 (2022), 295–321. Moscon, Valentina, Data Access Rules, Copyright and Protection of Technological Protection Measures in the EU. A Wave of Propertisation of Information (Max Planck Institute for Innovation & Competition Research Paper, No. 23-14), 2023, 24 pages, http://dx.doi.org/10.2139/ssrn.4515815, 25.07.2023. Militsyna, Kateryna, Human Creative Contribution to AI-Based Output – One Just Can(’t) Get Enough, GRUR International – Journal of European and International IP Law 72, 10 (2023), 939–949. Lee, Jyh-An; Reto M. Hilty; Kung-Chung Liu (eds.), Artificial Intelligence and Intellectual Property, Oxford University Press, Oxford 2021, XII + 449 pages. 71