Direction: AI Explainability, Trust, and Calibration

Transparency, Auditability, and Trust Calibration Mechanisms

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2025

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helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can democratic norms be incorporated into AI system design patterns to serve the public interest?

UbiComp '21Particles of a Whole: Design Patterns for Transparent and Auditable AI-Systems

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Users cannot trust AI systems because they lack transparency and auditability.

UbiComp '21Particles of a Whole: Design Patterns for Transparent and Auditable AI-Systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can the responsibilities and requirements of different participant roles be defined and modeled in trustworthy AI systems?

UbiComp '21Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can role dependency and transparency mechanisms improve trust in complex AI systems?

UbiComp '21Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can effective information flow governance frameworks be designed amid conflicts between transparency and privacy?

UbiComp '21Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Domain practitioners struggle to evaluate the reliability and applicability of AI systems.

UbiComp '21Identifying Roles, Requirements and Responsibilities in Trustworthy AI Systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How do model feature count and transparency affect users' prediction simulation ability?

CHI '21Manipulating and Measuring Model Interpretability

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Under what conditions are users more inclined to follow ML model predictions?

CHI '21Manipulating and Measuring Model Interpretability

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Do users more easily find and correct prediction errors in clear models vs. complex models?

CHI '21Manipulating and Measuring Model Interpretability

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

In high-risk domains, users struggle to trust complex ML models and understand their predictions.

CHI '21Manipulating and Measuring Model Interpretability

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can an interactive AI system semi-automate the coding process in qualitative research?

CHI '21Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can rule definition and supervised machine learning be effectively combined to improve qualitative coding efficiency and consistency?

CHI '21Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How do users' trust and transparency in AI-assisted tools affect their acceptance in qualitative data analysis?

CHI '21Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Qualitative research data coding is time-consuming and repetitive, and existing tools struggle to balance transparency and efficiency.

CHI '21Cody: An AI-Based System to Semi-Automate Coding for Qualitative Research

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How can social and organizational context be incorporated into explainability design for AI systems?

CHI '21Expanding Explainability: Towards Social Transparency in AI systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Can design based on the who-what-when-why (4W) framework optimize user trust and effectiveness when using AI decisions?

CHI '21Expanding Explainability: Towards Social Transparency in AI systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

How does social transparency (ST) affect user behavior and decisions when collaborating with AI?

CHI '21Expanding Explainability: Towards Social Transparency in AI systems

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

Users struggle to understand and trust AI decision rationales in critical decision scenarios.

CHI '21Expanding Explainability: Towards Social Transparency in AI systems

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

In human-AI collaborative text analysis, how do user interventions affect topic model (e.g., LDA) accuracy and semantic consistency?

CHI '21User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Can a simulation framework quantify the impact of user behavior on text analysis models?

CHI '21User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

helpResearch questionTransparency, Auditability, and Trust Calibration Mechanisms

Which user behaviors have the greatest impact on model performance in text analysis pipelines?

CHI '21User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

lightbulbPractical problemTransparency, Auditability, and Trust Calibration Mechanisms

User intervention may reduce transparency and reliability of text analysis models, making accurate tool building difficult.

CHI '21User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics

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