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

Scholars overly depend on big tech resources and platforms, making independent sociotechnical systems research difficult.

lightbulbPractical problemLLM Trust and Over/Under-Reliance

Scholars overly depend on big tech resources and platforms, making independent sociotechnical systems research difficult.

CSCW '23Divesting from Big Tech: Alternative Possibilities for Research and Futuring in Social Computing

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lightbulbPractical problemLLM Trust and Over/Under-Reliance

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

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Users struggle to understand complex AI ecosystems, affecting privacy decisions.

IUI '25Mental Models of Generative AI Chatbot Ecosystem

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Ordinary users cannot effectively understand the behavioral logic and information sources of complex generative AI.

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lightbulbPractical problemLLM Trust and Over/Under-Reliance

Users' inability to appropriately trust LLMs leads to wrong decisions or missed opportunities.

CHI '25To Rely or Not to Rely? Evaluating Interventions for Appropriate Reliance on Large Language Models

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Practitioners struggle to manage the large-scale, complex data required for LLM development.

CHI '25Emerging Data Practices: Data Work in the Era of Large Language Models

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Existing text evaluation systems have limited coverage and unreliable results, affecting education and news generation applications.

CHI '25Think Together and Work Better: Combining Humans' and LLMs' Think-Aloud Outcomes for Effective Text Evaluation

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