AI RESEARCH
The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
arXiv CS.AI
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ArXi:2605.12717v1 Announce Type: cross AI alignment and participatory design motivate a new cratic design problem: how to collectively choose a decision rule to use repeatedly. We study this problem for linear ranking rules, which repeatedly rank items $x_j$ within batches $X=(x_1,\dots,x_m)\in(\mathbb{R}^d)^m$, where each item's ranking is dictated by its score $\langle \theta^*,x_j\rangle$ according to a fixed scoring vector $\theta