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AI Explainability, Trust, and Calibration / Transparency, Auditability, and Trust Calibration Mechanisms

Enterprise users struggle to quickly get started with and understand how reinforcement learning models work in decision optimization.

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Enterprise users struggle to quickly get started with and understand how reinforcement learning models work in decision optimization.

IUI '23AutoDOViz: Human-Centered Automation for Decision Optimization

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lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Urban residents have low trust in 311 systems, with fragmented reports and inefficient service.

CHI '25Design for Civic Quality of Life Things

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Users easily mistake language models for having human traits, leading to over-trust or misunderstanding.

CHI '25A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies

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Users lack clarity on how social media processes their data in real time, causing privacy and trust issues.

CHI '25"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications

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Users lack trust in AI tools, especially in high-risk HR domains.

CSCW '24The Role of Algorithmic Audits and Other Soft Law Approaches in Informing Users' Calibrated Trust in Artificial Intelligence Tools

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Designers struggle to quickly and efficiently optimize the effectiveness of generative task prompts.

CHI '24EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria

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Scholars struggle to assess literature credibility and reproducibility, especially novices or interdisciplinary researchers.

CHI '24Integrating measures of replicability into scholarly search: Challenges and opportunities

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