Artificial Intelligence Regulation: a framework for governance
This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published...
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Published in: | Ethics and information technology Vol. 23; no. 3; pp. 505 - 525 |
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Format: | Journal Article |
Language: | English |
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01-09-2021
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Abstract | This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve gold-standard societal values, such as fairness, freedom and long-term sustainability. This challenge of integrating the AIR literature was matched by the identification of a structural common ground among different approaches. The AIR framework results from an effort to identify and later analytically deduce synthetic, and generic tool for a country-specific, stakeholder-aware analysis of AIR matters. Theories and principles as diverse as Agile and Ethics were combined in the “AIR framework”, which provides a conceptual lens for societies to think collectively and make informed policy decisions related to what, when, and how the uses and applications of AI should be regulated. Moreover, the AIR framework serves as a theoretically sound starting point for endeavours related to AI regulation, from legislation to research and development. As we know, the (potential) impacts of AI on society are immense, and therefore the discourses, social negotiations, and applications of this technology should be guided by common grounds based on contemporary governance techniques, and social values legitimated via dialogue and scientific research. |
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AbstractList | This article develops a conceptual framework for regulating Artificial Intelligence (AI) that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve gold-standard societal values, such as fairness, freedom and long-term sustainability. This challenge of integrating the AIR literature was matched by the identification of a structural common ground among different approaches. The AIR framework results from an effort to identify and later analytically deduce synthetic, and generic tool for a country-specific, stakeholder-aware analysis of AIR matters. Theories and principles as diverse as Agile and Ethics were combined in the “AIR framework”, which provides a conceptual lens for societies to think collectively and make informed policy decisions related to what, when, and how the uses and applications of AI should be regulated. Moreover, the AIR framework serves as a theoretically sound starting point for endeavours related to AI regulation, from legislation to research and development. As we know, the (potential) impacts of AI on society are immense, and therefore the discourses, social negotiations, and applications of this technology should be guided by common grounds based on contemporary governance techniques, and social values legitimated via dialogue and scientific research. |
Author | dos Santos, Carlos Denner Farias, Josivania Silva de Almeida, Patricia Gomes Rêgo |
Author_xml | – sequence: 1 givenname: Patricia Gomes Rêgo orcidid: 0000-0003-0187-8707 surname: de Almeida fullname: de Almeida, Patricia Gomes Rêgo email: patricia.almeida@camara.leg.br organization: University of Brasilia (UnB) – Department of Administration, Chamber of Deputies of Brazil – Directorate of Innovation and Information Technology – sequence: 2 givenname: Carlos Denner orcidid: 0000-0002-4481-0115 surname: dos Santos fullname: dos Santos, Carlos Denner organization: University of Brasilia (UnB) – Department of Administration, LATECE, University of Quebec at Montreal (UQAM) – sequence: 3 givenname: Josivania Silva orcidid: 0000-0002-1421-3280 surname: Farias fullname: Farias, Josivania Silva organization: University of Brasilia (UnB) – Department of Administration |
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Title | Artificial Intelligence Regulation: a framework for governance |
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