<p>Intellectual property (IP) rights and IP-related rights, such as trade secrets and regulatory exclusivities, play a crucial role in the development and deployment of artificial intelligence (AI) technologies. However, possible interactions may be anticipated when comparing the legal relationships formed by these rights with those established by human rights. This study synthesises 53 laws and treaties illustrating the IP landscape for AI in health systems across Europe and examines their intersections with health-focused human rights. Our analysis reveals that a great variety of datasets, software, hardware, output, AI model architecture, data bases, and graphical user interfaces can be subject to IP protection. Although codified limitations and exceptions on IP and IP-related rights exist, interpretation of their conditions and scope permits for diverse interpretations and is left to the discretion of courts. Comparing these rights to health-focused human rights highlights tensions between promoting innovation and ensuring accessibility, quality, and equity in health systems, as well as between human rights ideals and the protection of European digital sovereignty. As these rights often pursue conflicting objectives and may involve trade-offs, future research should explore new ways to reconcile these objectives and foster solidarity in sharing the risks and benefits among stakeholders.</p>

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Artificial intelligence, intellectual property, and human rights: mapping the legal landscape in European health systems

  • Robin van Kessel,
  • Jelena Schmidt,
  • Hannah van Kolfschooten,
  • Sam Feudo,
  • Katie Young,
  • Laura Valtere,
  • Timo Minssen,
  • Elias Mossialos

摘要

Intellectual property (IP) rights and IP-related rights, such as trade secrets and regulatory exclusivities, play a crucial role in the development and deployment of artificial intelligence (AI) technologies. However, possible interactions may be anticipated when comparing the legal relationships formed by these rights with those established by human rights. This study synthesises 53 laws and treaties illustrating the IP landscape for AI in health systems across Europe and examines their intersections with health-focused human rights. Our analysis reveals that a great variety of datasets, software, hardware, output, AI model architecture, data bases, and graphical user interfaces can be subject to IP protection. Although codified limitations and exceptions on IP and IP-related rights exist, interpretation of their conditions and scope permits for diverse interpretations and is left to the discretion of courts. Comparing these rights to health-focused human rights highlights tensions between promoting innovation and ensuring accessibility, quality, and equity in health systems, as well as between human rights ideals and the protection of European digital sovereignty. As these rights often pursue conflicting objectives and may involve trade-offs, future research should explore new ways to reconcile these objectives and foster solidarity in sharing the risks and benefits among stakeholders.