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Responsible Governance of Artificial...

Brundage, Miles .

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Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration./
作者:	Brundage, Miles .
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	150 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-07, Section: B.
Contained By:	Dissertations Abstracts International81-07B.
標題:	Social research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27663289
ISBN:	9781392735312

Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration.
Brundage, Miles .

Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 150 p.

Source: Dissertations Abstracts International, Volume: 81-07, Section: B.

Thesis (Ph.D.)--Arizona State University, 2019.

This item must not be sold to any third party vendors.

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.

ISBN: 9781392735312Subjects--Topical Terms:

2122687
Social research.

Responsible Governance of Artificial Intelligence: An Assessment, Theoretical Framework, and Exploration.
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