HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

AI Explainability, Trust, and Calibration / LLM Trust and Over/Under-Reliance

What problems exist in transparency and reliability among currently claimed-open AI projects?

helpResearch questionLLM Trust and Over/Under-Reliance

What problems exist in transparency and reliability among currently claimed-open AI projects?

CUI '23Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators

Similar questions

helpResearch questionLLM Trust and Over/Under-Reliance

How can multimodal interaction systems integrate dynamic Bayesian networks (real-time inference tools) and large language models (contextual knowledge generation) to adapt to complex scenarios?

IUI '25A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions

helpResearch questionLLM Trust and Over/Under-Reliance

How do dynamic Bayesian networks perform real-time inference and handle uncertainty when multimodal sensor inputs are noisy?

IUI '25A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions

helpResearch questionLLM Trust and Over/Under-Reliance

How can multimodal interaction systems achieve scalability and adaptability in large-scale dynamic environments?

IUI '25A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions

helpResearch questionLLM Trust and Over/Under-Reliance

How do users understand data flows and privacy protection in generative AI (GenAI) chatbot ecosystems?

IUI '25Mental Models of Generative AI Chatbot Ecosystem

helpResearch questionLLM Trust and Over/Under-Reliance

How do user trust and privacy concerns differ between first-party systems (e.g., Google Gemini) and third-party systems (e.g., ChatGPT)?

IUI '25Mental Models of Generative AI Chatbot Ecosystem

helpResearch questionLLM Trust and Over/Under-Reliance

How do different mental models affect users' trust and data privacy decisions?

IUI '25Mental Models of Generative AI Chatbot Ecosystem

Related papers

A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions

Violet Yinuo Han, Tianyi Wang, Hyunsung Cho

Mental Models of Generative AI Chatbot Ecosystem

Xingyi Wang, Xiaozheng Wang, Sunyup Park

Building Appropriate Mental Models: What Users Know and Want to Know about an Agentic AI Chatbot

Michelle Brachman, Siya Kunde, Sarah Miller

To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models

Jessica Y Bo, Sophia Wan, Ashton Anderson

Emerging Data Practices: Data Work in the Era of Large Language Models

Adriana Alvarado Garcia, Heloisa Candello, Karla Badillo-Urquiola

Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation

SeongYeub Chu, JongWoo Kim, Mun Yong Yi

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

Gaole He, Gianluca Demartini, Ujwal Gadiraju

Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance

Sofia Eleni Spatharioti, David Rothschild, Daniel G. Goldstein

Generative AI in Documentary Photography: Exploring Opportunities and Challenges for Visual Storytelling

Lenny Martinez, Baptiste Caramiaux, Sarah Fdili Alaoui

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages

Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju

Understanding the Dynamics in Deploying AI-Based Content Creation Support Tools in Broadcasting Systems - Benefits, Challenges, and Directions

Joon Gi Chung, Soongi Hong, Junho Choi

Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies

Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao