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This collection examines implications of technological automation to global prosperity and peace. Focusing on robots, information communication technologies, and other automation technologies, it offers brief interventions that assess how automation may alter extant political, social, and economic institutions, norms, and practices that comprise the global political economy. In doing so, this collection deals directly with such issues as automated production, trade, war, state sanctioned robot violence, financial speculation, transnational crime, and policy decision making. This interdisciplinary volume will appeal to students, scholars and practitioners grappling with political, economic, and social problems that arise from rapid technological change that automates the prospects for human prosperity and peace

US Internet governance policy, it has been argued, is a threat to the Internet. Calls persist for the development of a multilateral Internet governance organization where states, especially the United States, play a lessened Internet governance role. Yet, US policymakers continue to resist greater multilateralism in global Internet governance favoring instead multistakeholder governance. Why do US policymakers continue to resist greater multilateralism in global governance of the Internet? Employing the Open Door interpretation of US diplomatic history, I show that, in the post-Cold War era, US policymakers purposed the Internet as a platform for the expansion of American products and political ideals and view greater multilateralism in global Internet governance as a threat to this purpose for the Internet. US policymakers will continue to support the present multistakeholder Internet governance structure that reflects US Internet governance policy preferences. Efforts at greater multilateralism in global governance of the Internet will continue to encounter US resistance unless such efforts incorporate US Internet governance policy preferences. Adapted from the source document.

"This chapter examines US cyber security policy in light of transnational cyber security, deterrence theory, and hegemonic stability theory. Recent work on US cyber security policy has argued for or against deterrence theory as a basis for US cyber security policy. Deterrence theory, as a state level theory of national security, focuses attention on strategic choice enabling policymakers to manage state level responses to perceived threats. The problem is that the Internet is a transnational medium and, increasingly, an important global medium for economic exchange, being treated as a duty free zone under WTO agreements. Thinking about cyber security at the level of the state elides threats to the Internet as a global commercial medium. Framing cyber security as a transnational security issue may assist in developing a comprehensive US cyber security policy that incorporates deterrence and US leadership. The role of the US in the global economic order is to provide leadership ensuring stability necessary or economic and information exchange to occur. From the standpoint of transnational security, the US should fulfill its role as leader of collective hegemony, by leading cyber space stakeholders to develop norms and rules for global cyber security governance regimes and institutions that will teach states the norms and rules necessary for a stable and secure cyber domain through which global information and economic exchange will continue to flourish." (author's abstract)

This book seeks to leverage academic interdisciplinarity to develop insight into how artificial intelligence (AI), the latest GPT to emerge, may influence or radically change socio-political norms, practices, and institutions. AI may best be understood as a predictive technology. "Prediction is the process of filling in missing information. Prediction takes information you have, often called 'data', and uses it to generate information you don't have" (Agrawal, Gans, and Goldfarb 2018, 13; also see Mayer-Schonberger and Ramge 2018). AI makes prediction cheap because the cost of information is now close to zero. Cheap prediction through AI technologies is radically altering how we govern ourselves, interact with each other, and sustain society. Contributors to this book represent the academic disciplines of sociology and political science working within a diverse set of intra-disciplinary fields that when combined, yield novel insights into the following questions guiding this book: How might AI transform people? How might AI transform socio-political practices? How might AI transform socio-political institutions? Tugrul Keskin is Professor in the College of Liberal Arts and Director of the Centre for Global Governance at Shanghai University. Ryan Kiggins is Instructor in the Department of Political Science at the University of Central Oklahoma, Edmond, OK, USA.