Cover Image

The Variance Paradox: How AI Reduces Diversity but Increases Novelty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ghafouri, Bijean
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lost Before Translation: Social Information Transmission and Survival in AI-AI Communication
by: Ghafouri, Bijean, et al.
Published: (2026)

What do people want to fact-check?
by: Ghafouri, Bijean, et al.
Published: (2026)

AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
by: Veisi, Omid, et al.
Published: (2025)

RLHF May Not Reflect Genuine Preferences
by: Ghafouri, Bijean, et al.
Published: (2026)

Epistemic Integrity in Large Language Models
by: Ghafouri, Bijean, et al.
Published: (2024)

Psittacines of Innovation? Assessing the True Novelty of AI Creations
by: Mukherjee, Anirban
Published: (2024)

Mapping the Empirical Evidence of the GDPR (In-)Effectiveness: A Systematic Review
by: Li, Wenlong, et al.
Published: (2023)

Incentive-Tuning: Understanding and Designing Incentives for Empirical Human-AI Decision-Making Studies
by: Kaur, Simran, et al.
Published: (2026)

Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity
by: Pataranutaporn, Pat, et al.
Published: (2024)

To accept or not to accept? An IRT-TOE Framework to Understand Educators' Resistance to Generative AI in Higher Education
by: Kalmus, Jan-Erik, et al.
Published: (2024)

Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation
by: Sun, Ruixuan, et al.
Published: (2026)

Scalable Exploration via Ensemble++
by: Li, Yingru, et al.
Published: (2024)

Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024)

A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges
by: Zerkouk, Meriem, et al.
Published: (2025)

AI Revolution on Chat Bot: Evidence from a Randomized Controlled Experiment
by: Peng, Sida, et al.
Published: (2024)

From Prompts to Context: An Ontology-Driven Framework for Human-Generative AI Collaboration
by: Le, Ngoc Luyen, et al.
Published: (2026)

PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions
by: Kim, Jason, et al.
Published: (2026)

Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset
by: Haddad, Dany, et al.
Published: (2026)

Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
by: Froma, Lennard C., et al.
Published: (2026)

iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations
by: Wijekoon, Anjana, et al.
Published: (2024)

Trustworthy AI Psychotherapy: Multi-Agent LLM Workflow for Counseling and Explainable Mental Disorder Diagnosis
by: Ozgun, Mithat Can, et al.
Published: (2025)

DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration
by: Zheng, Chengbo, et al.
Published: (2024)

GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration
by: Wang, Ben
Published: (2024)

Mapping the Scholarship of Dark Pattern Regulation: A Systematic Review of Concepts, Regulatory Paradigms, and Solutions from an Interdisciplinary Perspective
by: Yi, Weiwei, et al.
Published: (2024)

From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
by: Wang, Junjie, et al.
Published: (2026)

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews
by: Grossman, Riley, et al.
Published: (2026)

Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
by: Long, Tao, et al.
Published: (2024)

The Architecture of Cognitive Amplification: Enhanced Cognitive Scaffolding as a Resolution to the Comfort-Growth Paradox in Human-AI Cognitive Integration
by: Riva, Giuseppe
Published: (2025)

An Information-Theoretic Framework for Comparing Voice and Text Explainability
by: Rajhans, Mona, et al.
Published: (2026)

The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate
by: Oh, Juhyun, et al.
Published: (2024)

The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth
by: Ferrara, Emilio
Published: (2026)

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
by: Wang, Zora Zhiruo, et al.
Published: (2025)

AI Literacy for Legal AI Systems: A practical approach
by: Gultekin-Varkonyi, Gizem
Published: (2025)

New contexts, old heuristics: How young people in India and the US trust online content in the age of generative AI
by: Xu, Rachel, et al.
Published: (2024)

Reconfiguring Participatory Design to Resist AI Realism
by: Gautam, Aakash
Published: (2024)

What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices
by: Suzen, Neslihan, et al.
Published: (2024)

The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance
by: Cohen, Ruth, et al.
Published: (2026)

How to Disclose? Strategic AI Disclosure in Crowdfunding
by: Wang, Ning, et al.
Published: (2026)

Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows
by: Bodei, Silvia, et al.
Published: (2026)

Personality Engineering with AI Agents: A New Methodology for Negotiation Research
by: Vaccaro, Michelle A., et al.
Published: (2026)