
Alan Rozenshtein from the University of Minnesota Law School discusses his "Unitary Artificial Executive" thesis, which posits that near-term AI has the potential to significantly increase presidential control over the executive branch. He argues that AI agents, trained on a president's preferences, could automate many executive functions, allowing for unprecedented control over the bureaucracy. The conversation explores the mechanisms by which this could occur, including AI systems reviewing bureaucratic decisions and automating adjudications. They discuss potential benefits and drawbacks, including the impact on deliberation, delegation, and the balance of power within the government, as well as the feasibility and desirability of such a system.
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