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Natural Law and its Implications for AI Governance


Yueh-Hsuan Weng, Takashi Izumo


With the recent emergences of AI technologies, our societies are facing regulatory challenges in terms of their design, manufacture, sale and use. In addition to the existing norms, many new ‘AI laws’ will be needed for early stage AI governance. However, when it comes to AI, there is a significant gap between hard laws and soft laws. Although we have witnessed the development of soft law from both public institutions and organisations like the EU and the IEEE in recent years, hard law has been less forthcoming. Answering the question of why this gap exists and whether or not ‘natural law’ can narrow is the chief purpose of this paper. To do so we will draw on two supplemental principles from the natural law tradition.

Yueh-Hsuan Weng. Assistant Professor, FRIS, Tohoku University, Japan. Visiting Scientist, RIKEN-AIP, Japan.; Dr. jur. Takashi, Izumo. Associate Professor, Faculty of Law, Asahi University, Japan. For correspondence: <>


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