AI evaluation may bias perceptions: The importance of context in interpreting academic writing
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Shang, Yao, Randol |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows
by: Fang, Hanming, et al.
Published: (2026)
by: Fang, Hanming, et al.
Published: (2026)
From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
by: Kim, Alex, et al.
Published: (2023)
by: Kim, Alex, et al.
Published: (2023)
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
by: Gerling, Christopher, et al.
Published: (2024)
by: Gerling, Christopher, et al.
Published: (2024)
Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing
by: Lin, Cong William, et al.
Published: (2025)
by: Lin, Cong William, et al.
Published: (2025)
AI Safety Should Prioritize the Future of Work
by: Hazra, Sanchaita, et al.
Published: (2025)
by: Hazra, Sanchaita, et al.
Published: (2025)
AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting
by: Wu, Jibang, et al.
Published: (2025)
by: Wu, Jibang, et al.
Published: (2025)
Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations
by: Millo, Denisa, et al.
Published: (2024)
by: Millo, Denisa, et al.
Published: (2024)
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
by: Zhu, Jian-Qiao, et al.
Published: (2024)
by: Zhu, Jian-Qiao, et al.
Published: (2024)
Can Large Language Models Replace Human Subjects? A Large-Scale Replication of Scenario-Based Experiments in Psychology and Management
by: Cui, Ziyan, et al.
Published: (2024)
by: Cui, Ziyan, et al.
Published: (2024)
Anchors in the Machine: Behavioral and Attributional Evidence of Anchoring Bias in LLMs
by: Valencia-Clavijo, Felipe
Published: (2025)
by: Valencia-Clavijo, Felipe
Published: (2025)
A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses
by: Ye, Teng, et al.
Published: (2024)
by: Ye, Teng, et al.
Published: (2024)
LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents
by: Gonzalez-Bonorino, Augusto, et al.
Published: (2025)
by: Gonzalez-Bonorino, Augusto, et al.
Published: (2025)
The AI Productivity Index (APEX)
by: Vidgen, Bertie, et al.
Published: (2025)
by: Vidgen, Bertie, et al.
Published: (2025)
Reducing annotator bias by belief elicitation
by: Jakobsen, Terne Sasha Thorn, et al.
Published: (2024)
by: Jakobsen, Terne Sasha Thorn, et al.
Published: (2024)
Does AI and Human Advice Mitigate Punishment for Selfish Behavior? An Experiment on AI ethics From a Psychological Perspective
by: Leib, Margarita, et al.
Published: (2025)
by: Leib, Margarita, et al.
Published: (2025)
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
by: Solatorio, Aivin V., et al.
Published: (2024)
by: Solatorio, Aivin V., et al.
Published: (2024)
Working with AI: Measuring the Applicability of Generative AI to Occupations
by: Tomlinson, Kiran, et al.
Published: (2025)
by: Tomlinson, Kiran, et al.
Published: (2025)
Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs
by: Timoshenko, Artem, et al.
Published: (2025)
by: Timoshenko, Artem, et al.
Published: (2025)
Bias in Generative AI
by: Zhou, Mi, et al.
Published: (2024)
by: Zhou, Mi, et al.
Published: (2024)
What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption
by: Agarwal, Peeyush, et al.
Published: (2025)
by: Agarwal, Peeyush, et al.
Published: (2025)
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
by: Wu, Zengqing, et al.
Published: (2024)
by: Wu, Zengqing, et al.
Published: (2024)
Risk Alignment in Agentic AI Systems
by: Clatterbuck, Hayley, et al.
Published: (2024)
by: Clatterbuck, Hayley, et al.
Published: (2024)
Governing Technical Debt in Agentic AI Systems
by: Hydari, Muhammad Zia, et al.
Published: (2026)
by: Hydari, Muhammad Zia, et al.
Published: (2026)
AI-exposed jobs deteriorated before ChatGPT
by: Frank, Morgan R., et al.
Published: (2026)
by: Frank, Morgan R., et al.
Published: (2026)
AI Adoption in NGOs: A Systematic Literature Review
by: Rotter, Janne, et al.
Published: (2025)
by: Rotter, Janne, et al.
Published: (2025)
A Mathematical Framework for AI-Human Integration in Work
by: Celis, L. Elisa, et al.
Published: (2025)
by: Celis, L. Elisa, et al.
Published: (2025)
Sovereign AI: Rethinking Autonomy in the Age of Global Interdependence
by: Singh, Shalabh Kumar, et al.
Published: (2025)
by: Singh, Shalabh Kumar, et al.
Published: (2025)
The AI Transformation Gap Index (AITG): An Empirical Framework for Measuring AI Transformation Opportunity, Disruption Risk, and Value Creation at the Industry and Firm Level
by: Barr, Dean
Published: (2026)
by: Barr, Dean
Published: (2026)
Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals
by: Chemaya, Nir, et al.
Published: (2023)
by: Chemaya, Nir, et al.
Published: (2023)
Left Leaning Models: How AI Evaluates Economic Policy?
by: Chupilkin, Maxim
Published: (2025)
by: Chupilkin, Maxim
Published: (2025)
AI in the Enterprise: How People Use M365 Copilot Chat
by: Counts, Scott, et al.
Published: (2026)
by: Counts, Scott, et al.
Published: (2026)
Web3 x AI Agents: Landscape, Integrations, and Foundational Challenges
by: Shen, Yiming, et al.
Published: (2025)
by: Shen, Yiming, et al.
Published: (2025)
The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation Governance?
by: Kaivanto, Kim
Published: (2025)
by: Kaivanto, Kim
Published: (2025)
Paired Completion: Flexible Quantification of Issue-framing at Scale with LLMs
by: Angus, Simon D, et al.
Published: (2024)
by: Angus, Simon D, et al.
Published: (2024)
Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
by: McGurk, Erin, et al.
Published: (2026)
by: McGurk, Erin, et al.
Published: (2026)
Trust, Experience, and Innovation: Key Factors Shaping American Attitudes About AI
by: Palm, Risa, et al.
Published: (2025)
by: Palm, Risa, et al.
Published: (2025)
The Ideation Bottleneck: Decomposing the Quality Gap Between AI-Generated and Human Economics Research
by: Li, Ning
Published: (2026)
by: Li, Ning
Published: (2026)
Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements
by: Ahmadi, Mahdi, et al.
Published: (2024)
by: Ahmadi, Mahdi, et al.
Published: (2024)
Similar Items
-
AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows
by: Fang, Hanming, et al.
Published: (2026) -
From Transcripts to Insights: Uncovering Corporate Risks Using Generative AI
by: Kim, Alex, et al.
Published: (2023) -
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis
by: Gerling, Christopher, et al.
Published: (2024) -
Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing
by: Lin, Cong William, et al.
Published: (2025) -
AI Safety Should Prioritize the Future of Work
by: Hazra, Sanchaita, et al.
Published: (2025)