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This engaging book explores the growing role of AI in inventive processes and considers whether existing patent laws are capable of accommodating AI-generated inventions. Francesca Mazzi analyses how AI can design and enhance technical solutions while challenging core assumptions of patentability – most notably, the centrality of human creativity. Mazzi examines the nature of inventorship and evaluates the extent to which current legal regimes can recognise or respond to inventions created with limited or no human input. Scrutinising the concept of inventiveness and the continued relevance of the ‘person skilled in the art’, chapters question how patent law can ensure sufficient transparency when inventions arise from complex and opaque AI systems. Drawing on comparative methodologies and practical examples, the book concludes by reflecting on the broader justification of patent protection in light of non-human inventive activity and the compatibility between patent law and AI-driven innovation. Presenting a multi-jurisdictional analysis, Patentability of AI-Generated Inventions is a crucial resource for scholars and students of intellectual property law and technologies. Patent lawyers and copyright policymakers will also benefit from its actionable recommendations for navigating the future of IP.
This engaging book explores the growing role of AI in inventive processes and considers whether existing patent laws are capable of accommodating AI-generated inventions. Francesca Mazzi analyses how AI can design and enhance technical solutions while challenging core assumptions of patentability – most notably, the centrality of human creativity. Mazzi examines the nature of inventorship and evaluates the extent to which current legal regimes can recognise or respond to inventions created with limited or no human input. Scrutinising the concept of inventiveness and the continued relevance of the ‘person skilled in the art’, chapters question how patent law can ensure sufficient transparency when inventions arise from complex and opaque AI systems. Drawing on comparative methodologies and practical examples, the book concludes by reflecting on the broader justification of patent protection in light of non-human inventive activity and the compatibility between patent law and AI-driven innovation. Presenting a multi-jurisdictional analysis, Patentability of AI-Generated Inventions is a crucial resource for scholars and students of intellectual property law and technologies. Patent lawyers and copyright policymakers will also benefit from its actionable recommendations for navigating the future of IP.
