The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Steinmetz, Scott T, Naugle, Asmeret, Schutte, Paul, Sweitzer, Matt, Washburne, Alex, Linville, Lisa, Krofcheck, Daniel, Kucer, Michal, Myren, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trusted Simulation: Considering Model Quality in the Context of User Trust
by: Asmeret Naugle, et al.
Published: (2025)
by: Asmeret Naugle, et al.
Published: (2025)
Toward path-invariant embeddings for local distance source characterization
by: Linville, Lisa, et al.
Published: (2024)
by: Linville, Lisa, et al.
Published: (2024)
Trust-Aware Multimodal Data Fusion for Yield Estimation: A Case Study of the 2020 Beirut Explosion
by: Patel, Lekha, et al.
Published: (2025)
by: Patel, Lekha, et al.
Published: (2025)
Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization
by: McKinley, Oen, et al.
Published: (2025)
by: McKinley, Oen, et al.
Published: (2025)
Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild"
by: Li, Lingyao, et al.
Published: (2025)
by: Li, Lingyao, et al.
Published: (2025)
"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
by: Xu, Yuansong, et al.
Published: (2026)
by: Xu, Yuansong, et al.
Published: (2026)
How Much Trust is Enough? Towards Calibrating Trust in Technology
by: Beltrão, Gabriela, et al.
Published: (2026)
by: Beltrão, Gabriela, et al.
Published: (2026)
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI
by: Scharowski, Nicolas, et al.
Published: (2024)
by: Scharowski, Nicolas, et al.
Published: (2024)
From Role to Person: Trust Calibration Challenges in Twin Agents
by: Andersson, Hugo, et al.
Published: (2026)
by: Andersson, Hugo, et al.
Published: (2026)
Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI
by: Shulman, Yefim, et al.
Published: (2026)
by: Shulman, Yefim, et al.
Published: (2026)
Characterizing AI Fact-Checkers and Their Contributions on Community Notes
by: Gong, Yilin, et al.
Published: (2026)
by: Gong, Yilin, et al.
Published: (2026)
Perceptions of AI-CBT: Trust and Barriers in Chinese Postgrads
by: Sio, Chan-in, et al.
Published: (2025)
by: Sio, Chan-in, et al.
Published: (2025)
VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
The Privacy Guardian Agent: Towards Trustworthy AI Privacy Agents
by: Freiberger, Vincent
Published: (2026)
by: Freiberger, Vincent
Published: (2026)
Do We Know What They Know We Know? Calibrating Student Trust in AI and Human Responses Through Mutual Theory of Mind
by: Pal, Olivia, et al.
Published: (2026)
by: Pal, Olivia, et al.
Published: (2026)
Human-Centered AI Maturity Model (HCAI-MM): An Organizational Design Perspective
by: Winby, Stuart, et al.
Published: (2025)
by: Winby, Stuart, et al.
Published: (2025)
Trust Calibration in IDEs: Paving the Way for Widespread Adoption of AI Refactoring
by: Borg, Markus
Published: (2024)
by: Borg, Markus
Published: (2024)
The Journey to Trustworthy AI: Pursuit of Pragmatic Frameworks
by: Nasr-Azadani, Mohamad M, et al.
Published: (2024)
by: Nasr-Azadani, Mohamad M, et al.
Published: (2024)
What Motivates People to Trust 'AI' Systems?
by: Inie, Nanna
Published: (2024)
by: Inie, Nanna
Published: (2024)
UXer-AI Collaboration Process for Enhancing Trust
by: Yoon, Harin, et al.
Published: (2025)
by: Yoon, Harin, et al.
Published: (2025)
A Framework for Evaluating Appropriateness, Trustworthiness, and Safety in Mental Wellness AI Chatbots
by: Chen, Lucia, et al.
Published: (2024)
by: Chen, Lucia, et al.
Published: (2024)
The Jade Gateway to Trust: Exploring How Socio-Cultural Perspectives Shape Trust Within Chinese NFT Communities
by: Cao, Yi-Fan, et al.
Published: (2025)
by: Cao, Yi-Fan, et al.
Published: (2025)
Advancing Trustworthy AI for Sustainable Development: Recommendations for Standardising AI Incident Reporting
by: Agarwal, Avinash, et al.
Published: (2025)
by: Agarwal, Avinash, et al.
Published: (2025)
The Trusted Caregiver: The Influence of Eye and Mouth Design Incorporating the Baby Schema Effect in Virtual Humanoid Agents on Older Adults Users' Perception of Trustworthiness
by: Hu, Jennifer
Published: (2024)
by: Hu, Jennifer
Published: (2024)
AI Trust Reshaping Administrative Burdens: Understanding Trust-Burden Dynamics in LLM-Assisted Benefits Systems
by: Jo, Jeongwon, et al.
Published: (2025)
by: Jo, Jeongwon, et al.
Published: (2025)
Bidirectional Human-AI Alignment in Education for Trustworthy Learning Environments
by: Shen, Hua
Published: (2025)
by: Shen, Hua
Published: (2025)
Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance
by: Srinivasan, Tejas, et al.
Published: (2025)
by: Srinivasan, Tejas, et al.
Published: (2025)
Trust in Generative AI among students: An Exploratory Study
by: Amoozadeh, Matin, et al.
Published: (2023)
by: Amoozadeh, Matin, et al.
Published: (2023)
Human and AI Trust: Trust Attitude Measurement Instrument
by: Larasati, Retno
Published: (2025)
by: Larasati, Retno
Published: (2025)
Human Trust in AI Search: A Large-Scale Experiment
by: Li, Haiwen, et al.
Published: (2025)
by: Li, Haiwen, et al.
Published: (2025)
Cat Royale: An Artistic Inquiry into Trust in Robots
by: Adams, Matt, et al.
Published: (2025)
by: Adams, Matt, et al.
Published: (2025)
Why Trust in AI May Be Inevitable
by: Truong, Nghi, et al.
Published: (2025)
by: Truong, Nghi, et al.
Published: (2025)
Understanding Human-AI Trust in Education
by: Pitts, Griffin, et al.
Published: (2025)
by: Pitts, Griffin, et al.
Published: (2025)
PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology
by: Cohen, Myke C., et al.
Published: (2024)
by: Cohen, Myke C., et al.
Published: (2024)
Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
by: Ha, Sunwoo, et al.
Published: (2024)
by: Ha, Sunwoo, et al.
Published: (2024)
Trust in Transparency: How Explainable AI Shapes User Perceptions
by: Sunny, Allen Daniel
Published: (2025)
by: Sunny, Allen Daniel
Published: (2025)
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks
by: Mentxaka, Oier, et al.
Published: (2025)
by: Mentxaka, Oier, et al.
Published: (2025)
Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets
by: Thorne, Simon
Published: (2024)
by: Thorne, Simon
Published: (2024)
What Explains Teachers' Trust of AI in Education across Six Countries?
by: Viberg, Olga, et al.
Published: (2023)
by: Viberg, Olga, et al.
Published: (2023)
Navigating Privacy and Trust: AI Assistants as Social Support for Older Adults
by: LaRubbio, Karina, et al.
Published: (2025)
by: LaRubbio, Karina, et al.
Published: (2025)
Similar Items
-
Trusted Simulation: Considering Model Quality in the Context of User Trust
by: Asmeret Naugle, et al.
Published: (2025) -
Toward path-invariant embeddings for local distance source characterization
by: Linville, Lisa, et al.
Published: (2024) -
Trust-Aware Multimodal Data Fusion for Yield Estimation: A Case Study of the 2020 Beirut Explosion
by: Patel, Lekha, et al.
Published: (2025) -
Trustworthy by Design: The Viewer's Perspective on Trust in Data Visualization
by: McKinley, Oen, et al.
Published: (2025) -
Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild"
by: Li, Lingyao, et al.
Published: (2025)