DATA AND ARTIFICIAL INTELLIGENCE FOR BETTER AND INTELLIGENT REGULATION

نویسندگان

چکیده

In this article we bring forward a reflection on how data technology and artificial intelligence can improve the implementation of an evidence-based, data-driven, regulation. We start by arguing in favor evidence-base approach to regulation, meaning that policy making should be supported information expected observed impacts. reach position acknowledging that, one side, markets fail public intervention will promote social welfare economic competitiveness but, other, regulation also fails creating compliance costs. It follows has demonstration benefits outweigh paper discuss challenges presented new tools from technologies may provide resources face those difficulties. conclude there is obvious match between solutions these present requirements “better regulate” “regulate better”. end, it seems only natural data-driven. Keywords: Regulation; Artificial Intelligence; Better evidence-based data-driven

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ژورنال

عنوان ژورنال: Revista de direito da ULP

سال: 2021

ISSN: ['2184-6219']

DOI: https://doi.org/10.46294/ulplr-rdulp.v14i1.7469