Artificial Intelligence Regulation: A Meta-Framework for Formulation and Governance

Patricia Gomes Rêgo de Almeida · Carlos Eduardo Moreno dos Santos · Josivânia Silva Farias

24 citations0/0 files storedHawaii International Conference on System Sciences (HICSS)

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation Innovation, Sustainability, Human-Machine Systems

Abstract

This article presents a meta-framework for Artificial Intelligence (AI) regulation that encompasses all stages of international public policy-making, from formulation to sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation (AIR) published between 2009 and 2019, a dispersed body of knowledge organized under the label “framework” was identified, containing 15 unique frameworks and several different theories that created a complex scientific scenario for research and practice. Theories and principles as diverse as Agile and Ethics were found. Thus, a structured analytical method was followed to integrate this bulk of knowledge into a cohesive, synthetic, and generic theoretical tool. The resulting “AIR framework” provides a trustworthy 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 novel framework organizes the latest developments in the area in a format that allows future research to be framed in and added to the published literature. 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 in terms of terminology, governance, and social values.

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References

2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2020The Ethics of AI Ethics: An Evaluation of Guidelines 2016Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach 2017Society-in-the-loop: programming the algorithmic social contract 2020The Ethics of AI Ethics: An Evaluation of Guidelines 2019Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning 2018AI and Big Data: A blueprint for a human rights, social and ethical impact assessment 2018Patiency is not a virtue: the design of intelligent systems and systems of ethics

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