Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yao, Cui, Mingxuan, Jiang, Arthur, Yan, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
by: Sovrano, Francesco, et al.
Published: (2026)
by: Sovrano, Francesco, et al.
Published: (2026)
Psittacines of Innovation? Assessing the True Novelty of AI Creations
by: Mukherjee, Anirban
Published: (2024)
by: Mukherjee, Anirban
Published: (2024)
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
by: Papademas, Michael, et al.
Published: (2025)
by: Papademas, Michael, et al.
Published: (2025)
Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
by: Long, Tao, et al.
Published: (2024)
by: Long, Tao, et al.
Published: (2024)
Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
by: Tang, Xiangru, et al.
Published: (2024)
by: Tang, Xiangru, et al.
Published: (2024)
From Complexity to Clarity: How AI Enhances Perceptions of Scientists and the Public's Understanding of Science
by: Markowitz, David M.
Published: (2024)
by: Markowitz, David M.
Published: (2024)
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
by: Ong, Jasmine Chiat Ling, et al.
Published: (2025)
by: Ong, Jasmine Chiat Ling, et al.
Published: (2025)
Assessing the Ecological Impact of AI
by: Wenmackers, Sylvia
Published: (2025)
by: Wenmackers, Sylvia
Published: (2025)
Assessing the State of AI Policy
by: DeFranco, Joanna F., et al.
Published: (2024)
by: DeFranco, Joanna F., et al.
Published: (2024)
Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
by: Kersting, Nicholas S., et al.
Published: (2026)
by: Kersting, Nicholas S., et al.
Published: (2026)
A Collection of Innovations in Medical AI for patient records in 2024
by: Zhang, Yuanyun, et al.
Published: (2025)
by: Zhang, Yuanyun, et al.
Published: (2025)
AIDRIN 2.0: A Framework to Assess Data Readiness for AI
by: Hiniduma, Kaveen, et al.
Published: (2025)
by: Hiniduma, Kaveen, et al.
Published: (2025)
Street Review: A Participatory AI-Based Framework for Assessing Streetscape Inclusivity
by: Mushkani, Rashid, et al.
Published: (2025)
by: Mushkani, Rashid, et al.
Published: (2025)
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
by: Isley, Calvin, et al.
Published: (2025)
by: Isley, Calvin, et al.
Published: (2025)
AI-enhanced Collective Intelligence
by: Cui, Hao, et al.
Published: (2024)
by: Cui, Hao, et al.
Published: (2024)
Instructors as Innovators: A future-focused approach to new AI learning opportunities, with prompts
by: Mollick, Ethan, et al.
Published: (2024)
by: Mollick, Ethan, et al.
Published: (2024)
When Should Algorithms Resign? A Proposal for AI Governance
by: Bhatt, Umang, et al.
Published: (2024)
by: Bhatt, Umang, et al.
Published: (2024)
TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS
by: Anlen, Shirin, et al.
Published: (2025)
by: Anlen, Shirin, et al.
Published: (2025)
Advancing Transformative Education: Generative AI as a Catalyst for Equity and Innovation
by: Bura, Chiranjeevi, et al.
Published: (2024)
by: Bura, Chiranjeevi, et al.
Published: (2024)
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
by: Gonzalez, Rosemarie Santa, et al.
Published: (2024)
SuperSkillsStack: Agency, Domain Knowledge, Imagination, and Taste in Human-AI Design Education
by: Huang, Qian, et al.
Published: (2026)
by: Huang, Qian, et al.
Published: (2026)
PatentEdits: Framing Patent Novelty as Textual Entailment
by: Lee, Ryan, et al.
Published: (2024)
by: Lee, Ryan, et al.
Published: (2024)
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
by: Chen, Fan, et al.
Published: (2024)
by: Chen, Fan, et al.
Published: (2024)
Assessing High-Risk AI Systems under the EU AI Act: From Legal Requirements to Technical Verification
by: Buscemi, Alessio, et al.
Published: (2025)
by: Buscemi, Alessio, et al.
Published: (2025)
Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI
by: Unnikrishnan, Balagopal, et al.
Published: (2025)
by: Unnikrishnan, Balagopal, et al.
Published: (2025)
Assessing AI Utility: The Random Guesser Test for Sequential Decision-Making Systems
by: Ide, Shun, et al.
Published: (2024)
by: Ide, Shun, et al.
Published: (2024)
Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI
by: Pavlidis, Georgios, et al.
Published: (2026)
by: Pavlidis, Georgios, et al.
Published: (2026)
Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
by: Xu, Naen, et al.
Published: (2025)
by: Xu, Naen, et al.
Published: (2025)
The Hidden AI Race: Tracking Environmental Costs of Innovation
by: Agarwal, Shyam, et al.
Published: (2025)
by: Agarwal, Shyam, et al.
Published: (2025)
BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?
by: Jiang, Fengqing, et al.
Published: (2025)
by: Jiang, Fengqing, et al.
Published: (2025)
Generative AI as a catalyst for democratic Innovation: Enhancing citizen engagement in participatory budgeting
by: Sousa, Italo Alberto do Nascimento, et al.
Published: (2025)
by: Sousa, Italo Alberto do Nascimento, et al.
Published: (2025)
Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
by: Francia, Jerson, et al.
Published: (2024)
by: Francia, Jerson, et al.
Published: (2024)
How to Assess AI Literacy: Misalignment Between Self-Reported and Objective-Based Measures
by: Zhang, Shan, et al.
Published: (2026)
by: Zhang, Shan, et al.
Published: (2026)
Assessing employment and labour issues implicated by using AI
by: Willems, Thijs, et al.
Published: (2025)
by: Willems, Thijs, et al.
Published: (2025)
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
by: Qiu, Jiahao, et al.
Published: (2025)
by: Qiu, Jiahao, et al.
Published: (2025)
PHORECAST: Enabling AI Understanding of Public Health Outreach Across Populations
by: Qadri, Rifaa, et al.
Published: (2025)
by: Qadri, Rifaa, et al.
Published: (2025)
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China
by: Al-Maamari, Amir
Published: (2025)
by: Al-Maamari, Amir
Published: (2025)
Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)
by: Ghimire, Aashish, et al.
Published: (2024)
by: Ghimire, Aashish, et al.
Published: (2024)
Understanding the Relationship Between Firms' AI Technology Innovation and Consumer Complaints
by: Ma, Yongchao Martin, et al.
Published: (2026)
by: Ma, Yongchao Martin, et al.
Published: (2026)
FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models
by: Zesch, Torsten, et al.
Published: (2024)
by: Zesch, Torsten, et al.
Published: (2024)
Similar Items
-
Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
by: Sovrano, Francesco, et al.
Published: (2026) -
Psittacines of Innovation? Assessing the True Novelty of AI Creations
by: Mukherjee, Anirban
Published: (2024) -
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
by: Papademas, Michael, et al.
Published: (2025) -
Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
by: Long, Tao, et al.
Published: (2024) -
Risks of AI Scientists: Prioritizing Safeguarding Over Autonomy
by: Tang, Xiangru, et al.
Published: (2024)