Recent work on the limitations of using reinforcement learning from human feedback (RLHF)
to incorporate human preferences into model behavior often raises social choice theory as a …

We study the problem of fairly allocating $ m $ indivisible items among $ n $ agents. Envy-
free allocations, in which each agent prefers her bundle to the bundle of every other agent …

We conjecture that Borda count is the ranked choice voting method that best preserves the
outcome of an election with randomly corrupted votes, among all fair voting methods with …

Collective decision making problems capture situations where the preferences of agents
need to be aggregated into a compromise solution. This thesis focuses on two such …

Metric distortion in social choice provides a framework for assessing how well voting rules
minimize social cost in scenarios where voters and candidates exist in a shared metric …

In most of the world's democracies, policy decisions are primarily made by elected political
officials. However, under mounting dissatisfaction with representative government due to …