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Description
This project develops the "socio-technical contract" concept, a notion that signifies the kinds of socio-technological assumptions and arrangements that characterize a particular domain of policy or practice. Socio-technical contracts, unlike their social contract counterparts in political theory, represent active negotiation and renegotiation of social contracts around emerging technologies, as opposed to the tacit social contracts of thinkers such as Locke. I use the socio-technical contract concept to analyze the governance of assisted reproductive technologies in the United Kingdom. For increasing numbers of people, reproduction is happening in a fundamentally different way. Conception outside of the womb became a reality with the 1978 birth of Louise Brown, the first baby born via in-vitro fertilization. Alongside Louise Brown's birth emerged new social and governance configurations around reproductive technologies, including, in the United Kingdom, the establishment of a national regulatory agency, the Human Fertilisation and Embryology Authority. The project applies the socio-technical contract concept in order to examine how distributed governance and socio-cultural processes in the British context worked over time to renegotiate fundamental ideas about families and kinship, the boundaries of "ethical" science, rules governing release of information, the "right to an identity," the role of the state in the reproductive choices of individuals, and general approaches to how to think about the roles and relationships of the child, parents, and the state in and around the introduction of these technologies. As these changes have occurred, policies, social understandings, and legal rights have been renegotiated and new governance capacities, what I call "anticipatory capacities," have come into existence to manage and coordinate change across complex social systems. In illuminating anticipatory capacities in each context, I explore the tools deployed by government actors, scientists, stakeholders, and citizens in negotiating evolving socio-technical contracts around reproductive technologies.
ContributorsConley, Shannon (Author) / Miller, Clark A. (Thesis advisor) / Guston, David H. (Committee member) / Fisher, Erik (Committee member) / Arizona State University (Publisher)
Created2014
Description
While artificial intelligence (AI) has seen enormous technical progress in recent years, less progress has occurred in understanding the governance issues raised by AI. In this dissertation, I make four contributions to the study and practice of AI governance. First, I connect AI to the literature and practices of responsible research and innovation (RRI) and explore their applicability to AI governance. I focus in particular on AI’s status as a general purpose technology (GPT), and suggest some of the distinctive challenges for RRI in this context such as the critical importance of publication norms in AI and the need for coordination. Second, I provide an assessment of existing AI governance efforts from an RRI perspective, synthesizing for the first time a wide range of literatures on AI governance and highlighting several limitations of extant efforts. This assessment helps identify areas for methodological exploration. Third, I explore, through several short case studies, the value of three different RRI-inspired methods for making AI governance more anticipatory and reflexive: expert elicitation, scenario planning, and formal modeling. In each case, I explain why these particular methods were deployed, what they
produced, and what lessons can be learned for improving the governance of AI in the future. I find that RRI-inspired methods have substantial potential in the context of AI, and early utility to the GPT-oriented perspective on what RRI in AI entails. Finally, I describe several areas for future work that would put RRI in AI on a sounder footing.
produced, and what lessons can be learned for improving the governance of AI in the future. I find that RRI-inspired methods have substantial potential in the context of AI, and early utility to the GPT-oriented perspective on what RRI in AI entails. Finally, I describe several areas for future work that would put RRI in AI on a sounder footing.
ContributorsBrundage, Miles, Ph.D (Author) / Guston, David (Thesis advisor) / Keeler, Lauren (Committee member) / Fisher, Erik (Committee member) / Bryson, Joanna (Committee member) / Arizona State University (Publisher)
Created2019
Description
National infrastructure form the bedrock for economic growth and social security, both of which lowers conflict risks. This encourages states and international organizations to invest heavily in post-conflict infrastructure reconstruction efforts, believing that infrastructure provision will reduce future political instability. This belief is based largely on the perceived successes of reconstruction efforts in prior eras, especially after World War II. Today, post-conflict reconstruction efforts are much less successful in this regard and, overall, are not reducing political instability---Iraq being the quintessential example of such policy failure. In the face of both ongoing conflict and persistent needs for infrastructure reconstruction after conflicts, therefore, there is a critical need to understand two questions: Why are current reconstruction efforts failing to reduce political instability or even, in some cases, increasing it? And, how can reconstruction efforts be organized to do better? To address these questions, this dissertation examines infrastructure reconstruction across a wide range of national contexts. In doing this, an updated viewpoint is provided on the role of infrastructure in conflict-prone areas to include a long-term perspective on infrastructure system's role in society, technological integration, and relationship between the state and conflicting groups. This dissertation finds that though provision of different types of infrastructure might increase conflict risks in the short term, such provision can reduce conflict in the long run depending on how and where infrastructure is provided vis-a-vis excluded populations. These results provide crucial input towards the redesign of reconstruction policies to limit future political instability risks through infrastructure.
ContributorsMolfino, Emily Suzanne (Author) / Miller, Clark (Thesis advisor) / Fisher, Erik (Committee member) / Wood, Reed (Committee member) / Arizona State University (Publisher)
Created2014