Copertina

When Medical AI Explanations Help and When They Harm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khanna, Manshu, Wang, Ziyi, Wei, Lijia, Xue, Lian
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	General Economics Economics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Overcoming Medical Overuse with AI Assistance: An Experimental Investigation
di: Wang, Ziyi, et al.
Pubblicazione: (2024)

Complexity Beyond Incentives: The Critical Role of Reporting Language
di: Hakimov, Rustamdjan, et al.
Pubblicazione: (2025)

Donald Trumps in the Virtual Polls: Simulating and Predicting Public Opinions in Surveys Using Large Language Models
di: Jiang, Shapeng, et al.
Pubblicazione: (2024)

When Are Social Ties Associated with Strategic Behavior?
di: Maroo, Nandini, et al.
Pubblicazione: (2026)

When Machines Meet Each Other: Network Effects and the Strategic Role of History in Multi-Agent AI
di: Liu, Yu, et al.
Pubblicazione: (2025)

Social Media Can Reduce Misinformation When Public Scrutiny is High
di: Wang, Gavin, et al.
Pubblicazione: (2025)

When AI Improves Answers but Slows Knowledge Creation: Matching and Dynamic Knowledge Creation in Digital Public Goods
di: Sun, Keh-Kuan
Pubblicazione: (2026)

Incentivizing High Quality Entrants When Creators Are Strategic
di: Nguyen, Felicia
Pubblicazione: (2025)

When Experimental Economics Meets Large Language Models: Evidence-based Tactics
di: Wang, Shu, et al.
Pubblicazione: (2025)

When Do Consumers Lose from Variable Electricity Pricing?
di: Lado, Nathan Engelman, et al.
Pubblicazione: (2025)

When Agents Shop for You: Role Coherence in AI-Mediated Markets
di: Alavi, Soogand, et al.
Pubblicazione: (2026)

When Assurance Undermines Intelligence: The Efficiency Costs of Data Governance in AI-Enabled Labor Markets
di: Chen, Lei, et al.
Pubblicazione: (2025)

When Incentives and Nudges Meet: Promoting Budget Allocations for Undervalued Policies
di: Kuroki, Makoto, et al.
Pubblicazione: (2025)

What Is a Causal Effect When Firms Interact? Counterfactuals and Interdependence
di: Mate, Mariluz
Pubblicazione: (2026)

Shopping with a Platform AI Assistant: Who Adopts, When in the Journey, and What For
di: Yan, Se, et al.
Pubblicazione: (2026)

When Do Voters Stop Caring? Estimating the Shape of Voter Utility Function
di: Conevska, Aleksandra, et al.
Pubblicazione: (2025)

When Clear Skies Cloud Trust: Environmental Cues and the Paradox of Confidence in Government
di: Xu, Xiangzhe, et al.
Pubblicazione: (2025)

When Truth Does Not Take on Its Shoes: How Misinformation Spreads in Chatrooms
di: Liu, Shuige
Pubblicazione: (2025)

When do firms sell high durability products? The case of light bulb industry
di: Fukasawa, Takeshi
Pubblicazione: (2025)

When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?
di: Schaefer, Maximilian
Pubblicazione: (2025)

When an AI Judges Your Work: The Hidden Costs of Algorithmic Assessment
di: Almog, David, et al.
Pubblicazione: (2026)

When Does Static Willingness to Pay Mislead? A Framework for Dynamic Hedonic Valuation
di: Auer, Josephine
Pubblicazione: (2026)

When Redistribution Becomes a State Variable: Monetary-Fiscal Stabilization with Type-Specific Sticky Wages
di: Miyazaki, Kenji
Pubblicazione: (2026)

When Does Tourism Raise Land Prices? Threshold Effects, Superstar Cities, and Policy Lessons from Japan
di: Xiao, Mingzhi, et al.
Pubblicazione: (2025)

Asylum Assignment and Burden-Sharing
di: Caspari, Gian, et al.
Pubblicazione: (2025)

Affirmative Action's Cumulative Fractional Assignments
di: Evren, Haydar, et al.
Pubblicazione: (2021)

Non-Standard Choice in Matching Markets
di: Caspari, Gian, et al.
Pubblicazione: (2021)

Liability Sharing and Staffing in AI-Assisted Online Medical Consultation
di: Xiao, Yang
Pubblicazione: (2026)

Valuing Winners: When and How to Correct for Selection Bias in Randomized Experiments
di: Berman, Ron, et al.
Pubblicazione: (2026)

When Is Degree Enough? Bounds on Degree-Eigenvector Misalignment in Assortative Structured Networks
di: Puravankara, Sreerag, et al.
Pubblicazione: (2025)

NONSTANDARD CHOICE IN MATCHING MARKETS
di: Gian Caspari, et al.
Pubblicazione: (2024)

Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?
di: Li, Wensu, et al.
Pubblicazione: (2026)

Guiding without Generating: Artificial Intelligence (AI)-Enabled Topic Nudges in Online Reviews
di: Wang, Fangyan, et al.
Pubblicazione: (2025)

Cutting through Complexity: How Data Science Can Help Policymakers Understand the World
di: Turrell, Arthur
Pubblicazione: (2025)

The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption
di: Erlei, Alexander, et al.
Pubblicazione: (2026)

The Walras-Bowley Lecture: Fragmentation of Matching Markets and How Economics Can Help Integrate Them
di: Kamada, Yuichiro, et al.
Pubblicazione: (2025)

Waiting for Help: Timely Access to Psychological Support for Young Adults Exposed to Parental Substance Misuse
di: Michel, Bastien, et al.
Pubblicazione: (2026)

When AI Democratizes Exploitation: LLM-Assisted Strategic Manipulation of Fair Division Algorithms
di: Verma, Priyanka, et al.
Pubblicazione: (2025)

COVID-19 Demand Shocks Revisited: Did Advertising Technology Help Mitigate Adverse Consequences for Small and Midsize Businesses?
di: Lee, Shun-Yang, et al.
Pubblicazione: (2023)

When and Why is Persuasion Hard? A Computational Complexity Result
di: Wojtowicz, Zachary
Pubblicazione: (2024)