Conducting empirical policy research related to the legal and ethical use of AI systems.
Separate from the technical challenges of AI systems, there are a number of policy challenges that must be addressed to ensure that AI systems are developed and used in ways that are legal, ethical, and sustainable.
We are committed to conducting empirical policy research related to the legal and ethical use of AI systems. This research is designed to help regulators, developers, and users better understand policy assumptions and implications related to AI systems, and to provide evidence that can be used to ultimately inform policy decisions.
A framework for understanding community opposition to the U.S. data center buildout, grounded in the current empirical record. Draft working paper, circulated for comment.
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The first integrated 50-state survey of data center incentives, land use, and energy policy. Draft working paper, circulated for comment.
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A cross-sector survey of 116 infrastructure development moratoria across 30 U.S. states, documenting how communities are responding to the rapid deployment of data centers, renewable energy facilities, and battery storage systems.
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