The field of AI governance is shifting towards a more nuanced understanding of the relationship between algorithmic power and constitutional authority. Researchers are exploring new frameworks that prioritize participatory authorization, representative communities, and individual rights to resist oppressive systems. This move towards a more democratic and sustainable approach to AI governance is driven by the need to address escalating power asymmetries and ensure that algorithmic systems are accountable to those they affect. Noteworthy papers in this area include: Reclaiming Constitutional Authority of Algorithmic Power, which proposes a constitutional framework for algorithmic governance grounded in covenantal authority and the right of lawful resistance. Urban AI Governance Must Embed Legal Reasonableness for Democratic and Sustainable Cities, which introduces the Urban Reasonableness Layer, a conceptual framework for adapting the legal reasonable person standard to municipal AI systems. Futurity as Infrastructure: A Techno-Philosophical Interpretation of the AI Lifecycle, which advances a formal reading of AI inspired by Simondonian philosophy of technology to model the AI lifecycle and propose measures for effective regulation.