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

How can the openness and transparency of instruction-tuned large language models such as ChatGPT be evaluated?

helpResearch questionLLM Trust and Over/Under-Reliance

How can the openness and transparency of instruction-tuned large language models such as ChatGPT be evaluated?

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

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