Regulating Artificial Intelligence in the EU, United States and China - Implications for energy systems
Ali Hariri and
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Fabian Heymann: SFOE - Swiss Federal Office of Energy
Konstantinos Parginos: PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris sciences et lettres - CNRS - Centre National de la Recherche Scientifique
Ali Hariri: EPFL - Ecole Polytechnique Fédérale de Lausanne
Gabriele Franco: PANETTA Law Firm
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The growing prevalence and potential impact of artificial intelligence (AI) on society rises the need for regulation. In return, the shape of regulations will affect the application potential of AI across all economic sectors. This study compares the approaches to regulate AI in the European Union (EU), the United States (US) and China (CN). We then apply the findings of our comparative analysis on the energy sector, assessing the effects of each regulatory approach on the operation of a AI-based short-term electricity demand forecasting application. Our findings show that operationalizing AI applications will face very different challenges across geographies, with important implications for policy making and business development.
Keywords: Artificial Intelligence; energy policy; load fore- casting; regulation (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ain, nep-cmp, nep-cna, nep-ene and nep-reg
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Published in ISGT EUROPE 2023: "Powering solutions for decarbonized and resilient future smartgrids", IEEE Power & Energy Society (PES); Université Grenoble Alpes, Oct 2023, Grenoble, France
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04167091
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