Saved in:
| Main Author: | Maynard, Andrew D. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.07085 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative AI User Experience: Developing Human--AI Epistemic Partnership
by: Zhai, Xiaoming
Published: (2026)
by: Zhai, Xiaoming
Published: (2026)
Classifying Epistemic Relationships in Human-AI Interaction: An Exploratory Approach
by: Yang, Shengnan, et al.
Published: (2025)
by: Yang, Shengnan, et al.
Published: (2025)
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
by: Rosenbacke, Rikard, et al.
Published: (2026)
by: Rosenbacke, Rikard, et al.
Published: (2026)
Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
by: Riley, Celeste, et al.
Published: (2025)
by: Riley, Celeste, et al.
Published: (2025)
The Manipulation Problem: Conversational AI as a Threat to Epistemic Agency
by: Rosenberg, Louis
Published: (2023)
by: Rosenberg, Louis
Published: (2023)
Update Opacity: Epistemic Accessibility and Governance Under AI System Change
by: Ferrario, Andrea, et al.
Published: (2026)
by: Ferrario, Andrea, et al.
Published: (2026)
The Inconsistency Critique: Epistemic Practices and AI Testimony About Inner States
by: Petruzella, Gerol
Published: (2025)
by: Petruzella, Gerol
Published: (2025)
Why Trust in AI May Be Inevitable
by: Truong, Nghi, et al.
Published: (2025)
by: Truong, Nghi, et al.
Published: (2025)
Manipulation and the AI Act: Large Language Model Chatbots and the Danger of Mirrors
by: Krook, Joshua
Published: (2025)
by: Krook, Joshua
Published: (2025)
Toward AI Systems That Understand Self and Others: A Multi-Phase Inference Framework for Human Cognitive Diversity and World-Model Alignment
by: Takahashi, Toru
Published: (2026)
by: Takahashi, Toru
Published: (2026)
GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
by: Ferrara, Emilio
Published: (2023)
by: Ferrara, Emilio
Published: (2023)
Struggle Premium : How Human Effort and Imperfection Drive Perceived Value in the Age of AI
by: Sultana, Nazneen, et al.
Published: (2026)
by: Sultana, Nazneen, et al.
Published: (2026)
Supporting Students' Reading and Cognition with AI
by: Fu, Yue, et al.
Published: (2025)
by: Fu, Yue, et al.
Published: (2025)
"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models
by: Hwang, Angel Hsing-Chi, et al.
Published: (2024)
by: Hwang, Angel Hsing-Chi, et al.
Published: (2024)
Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models
by: Vinay, Rasita, et al.
Published: (2024)
by: Vinay, Rasita, et al.
Published: (2024)
Human-Centered Human-AI Collaboration (HCHAC)
by: Gao, Qi, et al.
Published: (2025)
by: Gao, Qi, et al.
Published: (2025)
How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
by: Ashkinaze, Joshua, et al.
Published: (2024)
by: Ashkinaze, Joshua, et al.
Published: (2024)
Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
How AI Impacts Skill Formation
by: Shen, Judy Hanwen, et al.
Published: (2026)
by: Shen, Judy Hanwen, et al.
Published: (2026)
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
by: Chen, Zeya, et al.
Published: (2024)
by: Chen, Zeya, et al.
Published: (2024)
How Motivation Relates to Generative AI Use: A Large-Scale Survey of Mexican High School Students
by: Pan, Echo Zexuan, et al.
Published: (2026)
by: Pan, Echo Zexuan, et al.
Published: (2026)
From Keyboard to Chatbot: An AI-powered Integration Platform with Large-Language Models for Teaching Computational Thinking for Young Children
by: Lee, Changjae, et al.
Published: (2024)
by: Lee, Changjae, et al.
Published: (2024)
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
by: Ehsan, Upol, et al.
Published: (2021)
by: Ehsan, Upol, et al.
Published: (2021)
Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
by: He, Jessica, et al.
Published: (2025)
by: He, Jessica, et al.
Published: (2025)
Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
by: Naik, Suchismita, et al.
Published: (2025)
by: Naik, Suchismita, et al.
Published: (2025)
Belief Offloading in Human-AI Interaction
by: Guingrich, Rose E., et al.
Published: (2026)
by: Guingrich, Rose E., et al.
Published: (2026)
Understanding Human-AI Trust in Education
by: Pitts, Griffin, et al.
Published: (2025)
by: Pitts, Griffin, et al.
Published: (2025)
Human-Centric eXplainable AI in Education
by: Maity, Subhankar, et al.
Published: (2024)
by: Maity, Subhankar, et al.
Published: (2024)
Large Language Models Show Human-like Social Desirability Biases in Survey Responses
by: Salecha, Aadesh, et al.
Published: (2024)
by: Salecha, Aadesh, et al.
Published: (2024)
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
by: Gaube, Susanne, et al.
Published: (2026)
by: Gaube, Susanne, et al.
Published: (2026)
The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning
by: Rosenbacke, Rikard, et al.
Published: (2026)
by: Rosenbacke, Rikard, et al.
Published: (2026)
Human/AI Collective Intelligence for Deliberative Democracy: A Human-Centred Design Approach
by: De Liddo, Anna, et al.
Published: (2026)
by: De Liddo, Anna, et al.
Published: (2026)
Self-Service or Not? How to Guide Practitioners in Classifying AI Systems Under the EU AI Act
by: Schnitzer, Ronald, et al.
Published: (2026)
by: Schnitzer, Ronald, et al.
Published: (2026)
Making Sense of AI Limitations: How Individual Perceptions Shape Organizational Readiness for AI Adoption
by: Übellacker, Thomas
Published: (2025)
by: Übellacker, Thomas
Published: (2025)
How Professional Visual Artists are Negotiating Generative AI in the Workplace
by: Jiang, Harry H., et al.
Published: (2026)
by: Jiang, Harry H., et al.
Published: (2026)
Lessons From an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships
by: De Freitas, Julian, et al.
Published: (2024)
by: De Freitas, Julian, et al.
Published: (2024)
Irrelevant Alternatives Bias Large Language Model Hiring Decisions
by: Valkanova, Kremena, et al.
Published: (2024)
by: Valkanova, Kremena, et al.
Published: (2024)
Automatic Large Language Models Creation of Interactive Learning Lessons
by: Lin, Jionghao, et al.
Published: (2025)
by: Lin, Jionghao, et al.
Published: (2025)
Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
by: Chan, Samantha, et al.
Published: (2024)
by: Chan, Samantha, et al.
Published: (2024)
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
by: La Cava, Lucio, et al.
Published: (2024)
by: La Cava, Lucio, et al.
Published: (2024)
Similar Items
-
Generative AI User Experience: Developing Human--AI Epistemic Partnership
by: Zhai, Xiaoming
Published: (2026) -
Classifying Epistemic Relationships in Human-AI Interaction: An Exploratory Approach
by: Yang, Shengnan, et al.
Published: (2025) -
Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning
by: Rosenbacke, Rikard, et al.
Published: (2026) -
Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
by: Riley, Celeste, et al.
Published: (2025) -
The Manipulation Problem: Conversational AI as a Threat to Epistemic Agency
by: Rosenberg, Louis
Published: (2023)