Artificial Intelligence Regulation: a framework for governance

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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Bibliographic Details
Published in:Ethics and information technology Vol. 23; no. 3; pp. 505 - 525
Main Authors: de Almeida, Patricia Gomes Rêgo, dos Santos, Carlos Denner, Farias, Josivania Silva
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01-09-2021
Springer Nature B.V
Subjects:
Artificial intelligence
Computer Science
Ethics
Innovation/Technology Management
Legislation
Library Science
Literature reviews
Management of Computing and Information Systems
Original Paper
Policy making
Public policy
R&D
Regulation
Research & development
Social values
Sustainability
User Interfaces and Human Computer Interaction
Ethics
Regulation
Governance
Artificial Intelligence
Framework
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Summary: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.
ISSN:1388-1957
1572-8439
DOI:10.1007/s10676-021-09593-z