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  1. Open Problems in DAOs: Political Science and Philosophy.Eliza R. Oak, Woojin Lim, Danielle Allen & Helene Landemore - 2023 - Arxiv.
    Decentralized autonomous organizations (DAOs) are a new, rapidly-growing class of organizations governed by smart contracts. Here we describe how researchers can contribute to the emerging science of DAOs and other digitally-constituted organizations. From granular privacy primitives to mechanism designs to model laws, we identify high-impact problems in the DAO ecosystem where existing gaps might be tackled through a new data set or by applying tools and ideas from existing research fields such as political science, computer science, economics, law, and organizational (...)
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  • A Roadmap for Governing AI: Technology Governance and Power-Sharing Liberalism.Danielle Allen, Woojin Lim, Sarah Hubbard, Allison Stanger, Shlomit Wagman, Kinney Zalesne & Omoaholo Omoakhalen - 2025 - AI and Ethics 4 (4).
    This paper aims to provide a roadmap for governing AI. In contrast to the reigning paradigms, we argue that AI governance should be not merely a reactive, punitive, status-quo-defending enterprise, but rather the expression of an expansive, proactive vision for technology—to advance human flourishing. Advancing human flourishing in turn requires democratic/political stability and economic empowerment. To accomplish this, we build on a new normative framework that will give humanity its best chance to reap the full benefits, while avoiding the dangers, (...)
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  • Moral Learning in Organizations: An Integrative Framework for Organizational Ethics.Martin Kornberger & Stephan Leixnering - forthcoming - Journal of Business Ethics:1-12.
    Organizations face a plethora of moral challenges. To address these challenges, they must develop the capacity for moral action. Drawing on pragmatist philosophy and, more specifically, on the concept of moral imagination, we theorize such organizational capacity building as moral learning. We propose three conceptual building blocks, which together form the framework for moral learning. First, we posit that morality may be anchored in concrete action rather than in general rules or principles. In particular, we suggest that the locus of (...)
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  • A Roadmap for Governing AI: Technology Governance and Power Sharing Liberalism.Danielle Allen, Sarah Hubbard, Woojin Lim, Allison Stanger, Shlomit Wagman & Kinney Zalesne - 2024 - Harvard Ash Center for Democratic Governance and Innovation.
    This paper aims to provide a roadmap to AI governance. In contrast to the reigning paradigms, we argue that AI governance should not be merely a reactive, punitive, status-quo-defending enterprise, but rather the expression of an expansive, proactive vision for technology—to advance human flourishing. Advancing human flourishing in turn requires democratic/political stability and economic empowerment. Our overarching point is that answering questions of how we should govern this emerging technology is a chance not merely to categorize and manage narrow risk (...)
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