5 papers · 1 filter
When Medical AI Explanations Help and When They Harm
Manshu Khanna, Ziyi Wang, Lijia Wei +1
We document a fundamental paradox in AI transparency: explanations improve decisions when algorithms are correct but systematically worsen them when algorithms err. In an experimen…
Asylum Assignment and Burden-Sharing
Gian Caspari, Manshu Khanna
We analyze the problem of matching asylum seekers to member states, incorporating wait times, preferences of asylum seekers, and the priorities, capacities, and burden-sharing comm…
Reserve Systems with Match-Specific Beneficiaries
Yuan Gao, Xi Jin, Manshu Khanna
We study two-sided matching problems in which the designer regards certain participant--institution matches as socially desirable ('beneficiary matches') and seeks to promote such…
Complexity Beyond Incentives: The Critical Role of Reporting Language
Rustamdjan Hakimov, Manshu Khanna
Mechanisms specify both allocation rules and message spaces. We study how message spaces affect behavior in a laboratory assignment environment in which objects are bundles of thre…
Visibly Fair Mechanisms
Inácio Bó, Gian Caspari, Manshu Khanna
Priority-based allocation of individuals to positions are pervasive, and elimination of justified envy is often, an absolute requirement. This leaves serial dictatorship (SD) as th…