7 papers
Preference Reasoning under Indeterminacy in Large Language Models
Hadi Hosseini, Samarth Khanna, Xiyuan Wang
As large language models evolve into decision-making agents, the ability to reason over preferences becomes fundamental to alignment, coordination, and collective intelligence. Yet…
The Judgment-Consequence Gap: LLM Moral Reasoning in Healthcare Decisions
Hadi Hosseini, Samarth Khanna, Leona Pierce
As large language models (LLMs) enter high-stakes domains such as healthcare, understanding their moral reasoning becomes essential. Decisions about scarce medical resources often…
The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking
Hadi Hosseini
As generative AI becomes increasingly integrated into higher education, its frequent errors and hallucinations, often seen as limitations, offer a unique pedagogical opportunity. B…
Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values
John P. Dickerson, Hadi Hosseini, Samarth Khanna +1
The rapid integration of Large Language Models (LLMs) in high-stakes decision-making -- such as allocating scarce resources like donor organs -- raises critical questions about the…
Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences
Hadi Hosseini, Samarth Khanna, Ronak Singh
The rise of Large Language Models (LLMs) has driven progress in reasoning tasks -- from program synthesis to scientific hypothesis generation -- yet their ability to handle ranked…
Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
Hadi Hosseini, Samarth Khanna
The growing interest in employing large language models (LLMs) for decision-making in social and economic contexts has raised questions about their potential to function as agents…