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 but also to construe the risks and opportunities much more broadly, and to make correspondingly large investments in public goods, personnel, and democracy itself. To lay out this vision, we take four steps. First, we define some central concepts in the field, disambiguating between forms of technological harms and risks. Second, we review normative frameworks governing emerging technology that are currently in use around the globe. Third, we outline an alternative normative framework based in power-sharing liberalism. Fourth, we walk through a series of governance tasks that ought to be accomplished by any policy framework guided by our model of power-sharing liberalism. We follow these with proposals for implementation vehicles.
Over the past several weeks, the Department of Government Efficiency (DOGE) within the Trump Administration has been embedding staff in a range of United States federal agencies. These staff have gained access to data maintained by the federal government. This guide explains what is in the data, what DOGE is doing with it, and why it matters to all Americans.
“A Time for Choosing” — Danielle Allen on What Comes After DOGE
At a conference earlier this month, Professor Danielle Allen argued that what we are seeing with DOGE is the real time implementation of an extreme ideological vision of the role that technology and a small cohort of its wealthiest leaders should have in the world.
Over the past several weeks, the Department of Government Efficiency (DOGE) within the Trump Administration has been embedding staff in a range of United States federal agencies. These staff have gained access to data maintained by the federal government. This guide explains what is in the data, what DOGE is doing with it, and why it matters to all Americans.
AI-powered bots and electoral participation: a view from the Venezuelan experience
Drawing from her experience deploying an AI-powered chatbot to share accurate voting information during Venezuela’s recent election, Isabella Picón explains how AI technologies can enhance electoral participation and support pro-democracy movements.