AI RESEARCH
Computable Fairness: Boltzmann-Softmax Control for AI Resource Allocation
arXiv CS.AI
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ArXi:2605.22827v1 Announce Type: cross In large-scale AI systems, allocating scarce resources such as GPU compute time and bandwidth among multiple agents is a critical challenge. Conventional policies focus on efficiency metrics, potentially leading to dominance concentration that undermines system diversity and stability.