Framing governance for a contested emerging technology:insights from AI policy. Issue 2 (17th December 2020)

• Record Type: Journal Article
• Authors: Ulnicane, Inga; Knight, William; Leach, Tonii; Stahl, Bernd Carsten; Wanjiku, Winter-Gladys
• Is Part Of: Policy & society. Volume 40:Issue 2(2021)
• Page Start: 158
• Page End: 177
• Publication Date: 2020-12-17
• Subjects: Artificial Intelligence -- governance -- policy -- emerging technology; Policy sciences -- Periodicals; Social policy -- Periodicals; Economic policy -- Periodicals; International relations -- Periodicals; Sciences de la politique -- Périodiques; Politique sociale -- Périodiques; Politique économique -- Périodiques; Relations internationales -- Périodiques; Australia -- Politics and government -- 1945- -- Periodicals; Australia -- Economic conditions -- 1945- -- Periodicals; Pacific Area -- Politics and government -- Periodicals; Pacific Area -- Economic conditions -- Periodicals; Australie -- Politique et gouvernement -- 1945- -- Périodiques; Australie -- Conditions économiques -- 1945- -- Périodiques; Pacifique, Région du -- Politique et gouvernement -- Périodiques; Pacifique, Région du -- Conditions économiques -- Périodiques; 320.605
• DOI: 10.1080/14494035.2020.1855800
• Languages: English
• ISSNs: 1449-4035

Abstract

ABSTRACT: This paper examines how the governance in AI policy documents have been framed as way to resolve public controversies surrounding AI. It draws on the studies of governance of emerging technologies, the concept of policy framing, and analysis of 49 recent policy documents dedicated to AI which have been prepared in the context of technological hype expecting fast advances of AI that will fundamentally change economy and society. The hype about AI is accompanied by major public controversy about positive and negative effects of AI. Against the backdrop of this policy controversy, governance emerges as one of the frames that diagnoses the problems and offers prescriptions. Accordingly, the current governance characterized by oligopoly of a small number of large companies is indicated as one of the reasons for problems such as lack of consideration of societal needs and concerns. To address these problems, governance frame in AI policy documents assigns more active and collaborative roles to the state and society. Amid public controversies, the state is assigned the roles of promoting and facilitating AI development while at the same time being a guarantor of risk mitigation and enabler of societal engagement. High expectations are assigned to public engagement with multiple publics as a way to increase diversity, representation and equality in AI development and use. While this governance frame might have a normative appeal, it is not specific about addressing some well-known challenges of the proposed governance mode such as risks of capture by vested interests or difficulties to achieve consensus.