Convergence, Complexity and Uncertainty

  • Mercurio B
  • Yu R
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Abstract

The growing adoption of artificial intelligence (AI), combined with advances in the technology and the recent denial of patents to an AI inventor by the European and American patent offices, are necessitating a critical examination of the profound role the IP system has on AI, not only because IP rights can protect AI-related inventions and creations, but also because they can block access to key AI technologies. But such a review raises complicated IP, technical, legal, data-related, social and philosophical issues. For example, if the IP system is designed to encourage creation and invention, in large part through the recognition and reward of creative and inventive endeavour, who or what should be allowed to benefit from it – a human with an artificial identity; a human enhanced with AI; or an AI itself? And if not an AI, then what types of inventions or creations, created with the assistance of AI, deserve IP protection? This chapter attempts to help readers better appreciate the emerging and complex questions regarding IP and AI including what IP is in the context of AI, why things have gotten so complicated and the conundrum we now face of whether to prioritise progress or human interests.

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APA

Mercurio, B., & Yu, R. (2021). Convergence, Complexity and Uncertainty. In Artificial Intelligence and International Economic Law (pp. 139–154). Cambridge University Press. https://doi.org/10.1017/9781108954006.008

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