lightbulbPractical problemAI Trust Building and Reliability Judgment
Users struggle to choose which guidance sources to trust in data analysis tools.Direction: AI Explainability, Trust, and Calibration
AI Trust Building and Reliability Judgment
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36
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2025
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9 items
lightbulbPractical problemAI Trust Building and Reliability Judgment
Designers struggle to reliably predict future technology scenarios, producing systems that lack generalizability.lightbulbPractical problemAI Trust Building and Reliability Judgment
Different groups struggle to collaborate effectively online due to trust issues.lightbulbPractical problemAI Trust Building and Reliability Judgment
Users struggle to choose appropriate information retrieval tools for different tasks.lightbulbPractical problemAI Trust Building and Reliability Judgment
AI struggles to reliably simulate human decision logic in complex moral scenarios.lightbulbPractical problemAI Trust Building and Reliability Judgment
Ordinary users struggle to use existing automated tools for complex planning with unreliable outputs.lightbulbPractical problemAI Trust Building and Reliability Judgment
Domain knowledge is neglected in AI development, leading to poor data quality.lightbulbPractical problemAI Trust Building and Reliability Judgment
Users cannot understand logic of complex machine learning models and struggle to build trust.lightbulbPractical problemAI Trust Building and Reliability Judgment
Users are typically concerned about sharing private personal information, affecting the effectiveness of AI personalization.Related papers
IUI 2025
Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis
Arpit Narechania, Alex Endert, Atanu R Sinha
CHI 2025
Triangulating on Possible Futures: Conducting User Studies on Several Futures Instead of Only One
Antti Salovaara, Leevi Vahvelainen
CHI 2025
Relational AI: Facilitating Intergroup Cooperation with Socially Aware Conversational Support
Elijah L. Claggett, Robert E. Kraut, Hirokazu Shirado
CHI 2025
Understanding How Psychological Distance Influences User Preferences in Conversational versus Web Search
Yitian Yang, Yugin Tan, Yang Chen Lin
CHI 2025
Can AI Model the Complexities of Human Moral Decision-making? A Qualitative Study of Kidney Allocation Decisions
Vijay Keswani, Vincent Conitzer, Walter Sinnott-Armstrong
CHI 2025
VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
Christine P. Lee, David Porfirio, Xinyu Jessica Wang
CHI 2022
The Deskilling of Domain Expertise in AI Development
Nithya Sambasivan, Rajesh Veeraraghavan
CHI 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
Harini Suresh, Steven R. Gomez, Kevin K. Nam
CHI 2021
How should AI Systems Talk to users when Collecting their Personal Information? Effects of Role Framing and Self-referencing on Human-AI Interaction
Mengqi Liao, S. Shyam Sundar
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