Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
Fuente:
arXiv
Saved in:
| Main Authors: | Nahar, Mahjabin, Lee, Sian, Guillen, Rebekah, Lee, Dongwon |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
by: Nahar, Mahjabin, et al.
Published: (2025)
by: Nahar, Mahjabin, et al.
Published: (2025)
Beyond checkmate: exploring the creative chokepoints in AI text
by: Tripto, Nafis Irtiza, et al.
Published: (2025)
by: Tripto, Nafis Irtiza, et al.
Published: (2025)
NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models
by: Ye, Yiran, et al.
Published: (2023)
by: Ye, Yiran, et al.
Published: (2023)
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
by: Nahar, Mahjabin, et al.
Published: (2024)
by: Nahar, Mahjabin, et al.
Published: (2024)
Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models I: The Task-Query Architecture
by: Ackerman, Gary, et al.
Published: (2025)
by: Ackerman, Gary, et al.
Published: (2025)
AssurAI: Experience with Constructing Korean Socio-cultural Datasets to Discover Potential Risks of Generative AI
by: Lim, Chae-Gyun, et al.
Published: (2025)
by: Lim, Chae-Gyun, et al.
Published: (2025)
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
by: Cao, Yuefan, et al.
Published: (2025)
by: Cao, Yuefan, et al.
Published: (2025)
FrontierScience: Evaluating AI's Ability to Perform Expert-Level Scientific Tasks
by: Wang, Miles, et al.
Published: (2026)
by: Wang, Miles, et al.
Published: (2026)
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
by: Cooper, A. Feder, et al.
Published: (2024)
by: Cooper, A. Feder, et al.
Published: (2024)
Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models II: Benchmark Generation Process
by: Ackerman, Gary, et al.
Published: (2025)
by: Ackerman, Gary, et al.
Published: (2025)
Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs
by: Nahar, Mahjabin, et al.
Published: (2026)
by: Nahar, Mahjabin, et al.
Published: (2026)
Open Problems in Frontier AI Risk Management
by: Ziosi, Marta, et al.
Published: (2026)
by: Ziosi, Marta, et al.
Published: (2026)
The New Frontier of Cybersecurity: Emerging Threats and Innovations
by: Dave, Daksh, et al.
Published: (2023)
by: Dave, Daksh, et al.
Published: (2023)
Sabotage Evaluations for Frontier Models
by: Benton, Joe, et al.
Published: (2024)
by: Benton, Joe, et al.
Published: (2024)
Case Studies of AI Policy Development in Africa
by: Diallo, Kadijatou, et al.
Published: (2024)
by: Diallo, Kadijatou, et al.
Published: (2024)
Frontier AI systems have surpassed the self-replicating red line
by: Pan, Xudong, et al.
Published: (2024)
by: Pan, Xudong, et al.
Published: (2024)
Opportunities and Challenges of Frontier Data Governance With Synthetic Data
by: Thakur, Madhavendra, et al.
Published: (2025)
by: Thakur, Madhavendra, et al.
Published: (2025)
Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
by: Schouten, Daan, et al.
Published: (2024)
by: Schouten, Daan, et al.
Published: (2024)
NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
by: Vishwarupe, Varad, et al.
Published: (2026)
by: Vishwarupe, Varad, et al.
Published: (2026)
Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models III: Implementing the Bacterial Biothreat Benchmark (B3) Dataset
by: Ackerman, Gary, et al.
Published: (2025)
by: Ackerman, Gary, et al.
Published: (2025)
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers
by: Oesterling, Alex, et al.
Published: (2024)
by: Oesterling, Alex, et al.
Published: (2024)
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
by: Moreira, Catarina, et al.
Published: (2025)
by: Moreira, Catarina, et al.
Published: (2025)
Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
by: Wilms, Mieke, et al.
Published: (2026)
by: Wilms, Mieke, et al.
Published: (2026)
FNDEX: Fake News and Doxxing Detection with Explainable AI
by: Sallami, Dorsaf, et al.
Published: (2024)
by: Sallami, Dorsaf, et al.
Published: (2024)
Cognitive Structure Generation: From Educational Priors to Policy Optimization
by: Gu, Hengnian, et al.
Published: (2025)
by: Gu, Hengnian, et al.
Published: (2025)
HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT
by: Ceravolo, Paolo, et al.
Published: (2025)
by: Ceravolo, Paolo, et al.
Published: (2025)
Generative AI Training and Copyright Law
by: Stober, Sebastian, et al.
Published: (2025)
by: Stober, Sebastian, et al.
Published: (2025)
The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested
by: Vishwarupe, Varad, et al.
Published: (2026)
by: Vishwarupe, Varad, et al.
Published: (2026)
Towards Effective Discrimination Testing for Generative AI
by: Zollo, Thomas P., et al.
Published: (2024)
by: Zollo, Thomas P., et al.
Published: (2024)
AI and Generative AI Transforming Disaster Management: A Survey of Damage Assessment and Response Techniques
by: Raj, Aman, et al.
Published: (2025)
by: Raj, Aman, et al.
Published: (2025)
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)
by: Zhao, Chen, et al.
Published: (2023)
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers
by: Menke, Antonio-Gabriel Chacón, et al.
Published: (2025)
by: Menke, Antonio-Gabriel Chacón, et al.
Published: (2025)
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
by: Jo, Hwiyeol, et al.
Published: (2024)
by: Jo, Hwiyeol, et al.
Published: (2024)
Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI
by: Amon, Archer, et al.
Published: (2024)
by: Amon, Archer, et al.
Published: (2024)
The Case for ESM3 as a General-Purpose AI Model with Systemic Risk Under the EU AI Act
by: Qureshi, Taro, et al.
Published: (2026)
by: Qureshi, Taro, et al.
Published: (2026)
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)
by: Jurenka, Irina, et al.
Published: (2024)
Open Shouldn't Mean Exempt: Open-Source Exceptionalism and Generative AI
by: Atkinson, David
Published: (2025)
by: Atkinson, David
Published: (2025)
What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act
by: Meding, Kristof, et al.
Published: (2024)
by: Meding, Kristof, et al.
Published: (2024)
KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
by: Kim, Woojin, et al.
Published: (2026)
by: Kim, Woojin, et al.
Published: (2026)
Enhancing Team Diversity with Generative AI: A Novel Project Management Framework
by: Chan, Johnny, et al.
Published: (2025)
by: Chan, Johnny, et al.
Published: (2025)
Similar Items
-
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
by: Nahar, Mahjabin, et al.
Published: (2025) -
Beyond checkmate: exploring the creative chokepoints in AI text
by: Tripto, Nafis Irtiza, et al.
Published: (2025) -
NoisyHate: Mining Online Human-Written Perturbations for Realistic Robustness Benchmarking of Content Moderation Models
by: Ye, Yiran, et al.
Published: (2023) -
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
by: Nahar, Mahjabin, et al.
Published: (2024) -
Biothreat Benchmark Generation Framework for Evaluating Frontier AI Models I: The Task-Query Architecture
by: Ackerman, Gary, et al.
Published: (2025)