Image de couverture de livre

Understanding and Evaluating Trust in Generative AI and Large Language Models for Spreadsheets

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Thorne, Simon
Format:	Preprint
Publié:	2024
Sujets:	Human-Computer Interaction Computers and Society
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Human Trust in AI Search: A Large-Scale Experiment
par: Li, Haiwen, et autres
Publié: (2025)

Understanding Human-AI Trust in Education
par: Pitts, Griffin, et autres
Publié: (2025)

Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education
par: Lyu, Wenhan, et autres
Publié: (2025)

The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models
par: Ruf, Boris, et autres
Publié: (2024)

Large Language Models in Teaching and Learning: Reflections on Implementing an AI Chatbot in Higher Education
par: Caccavale, Fiammetta, et autres
Publié: (2026)

What Explains Teachers' Trust of AI in Education across Six Countries?
par: Viberg, Olga, et autres
Publié: (2023)

Navigating Privacy and Trust: AI Assistants as Social Support for Older Adults
par: LaRubbio, Karina, et autres
Publié: (2025)

Psychological Factors Influencing University Students Trust in AI-Based Learning Assistants
par: Dağtekin, Ezgi, et autres
Publié: (2025)

10 Questions to Fall in Love with ChatGPT: An Experimental Study on Interpersonal Closeness with Large Language Models (LLMs)
par: Szczuka, Jessica, et autres
Publié: (2025)

Synthetic Patients: Simulating Difficult Conversations with Multimodal Generative AI for Medical Education
par: Chu, Simon N., et autres
Publié: (2024)

Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI
par: Shulman, Yefim, et autres
Publié: (2026)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
par: Chen, Eason, et autres
Publié: (2024)

Evaluating Large Language Models in Theory of Mind Tasks
par: Kosinski, Michal
Publié: (2023)

AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
par: Zhou, Jiawei, et autres
Publié: (2025)

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

Multi-turn Evaluation of Anthropomorphic Behaviours in Large Language Models
par: Ibrahim, Lujain, et autres
Publié: (2025)

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
par: Badawi, Abeer, et autres
Publié: (2025)

Institutional Trust and the Domestic AI Advantage: Evidence from DeepSeek and ChatGPT Users in China
par: Huang, Jiashen, et autres
Publié: (2026)

Evaluating Tenant-Landlord Tensions Using Generative AI on Online Tenant Forums
par: Chen, Xin, et autres
Publié: (2024)

Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education
par: Bush, Annika, et autres
Publié: (2025)

Large Language Lovers: Lived Experiences of Negotiating Agency and Platform Control in AI Companionship
par: Lee, Patrick Yung Kang, et autres
Publié: (2026)

How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
par: Kelley, Patrick Gage, et autres
Publié: (2025)

Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models
par: Vinay, Rasita, et autres
Publié: (2024)

Why Trust in AI May Be Inevitable
par: Truong, Nghi, et autres
Publié: (2025)

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study
par: Choudhury, Avishek, et autres
Publié: (2025)

The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems
par: Steinmetz, Scott T, et autres
Publié: (2025)

From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data
par: Kursuncu, Ugur, et autres
Publié: (2025)

A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
par: Sarıtaş, Karahan, et autres
Publié: (2025)

Comuniqa : Exploring Large Language Models for improving speaking skills
par: Mhasakar, Manas, et autres
Publié: (2024)

Experiences from Integrating Large Language Model Chatbots into the Classroom
par: Hellas, Arto, et autres
Publié: (2024)

The Future of Learning: Large Language Models through the Lens of Students
par: Zhang, He, et autres
Publié: (2024)

Scaling Laws for Moral Machine Judgment in Large Language Models
par: Takemoto, Kazuhiro
Publié: (2026)

The Jade Gateway to Trust: Exploring How Socio-Cultural Perspectives Shape Trust Within Chinese NFT Communities
par: Cao, Yi-Fan, et autres
Publié: (2025)

AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work
par: Zhang, Alice Qian, et autres
Publié: (2024)

Understanding and Supporting Peer Review Using AI-reframed Positive Summary
par: Yang, Chi-Lan, et autres
Publié: (2025)

Evaluating the Application of Large Language Models to Generate Feedback in Programming Education
par: Jacobs, Sven, et autres
Publié: (2024)

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
par: Gautam, Sanjana, et autres
Publié: (2026)

Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models
par: Cooper, Ned, et autres
Publié: (2024)

Large Language Models in Architecture Studio: A Framework for Learning Outcomes
par: Rodriguez, Juan David Salazar, et autres
Publié: (2025)

Anticipating Impacts: Using Large-Scale Scenario Writing to Explore Diverse Implications of Generative AI in the News Environment
par: Kieslich, Kimon, et autres
Publié: (2023)