Cover Image

Same Performance, Hidden Bias: Evaluating Hypothesis- and Recommendation-Driven AI

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Benk, Michaela, Miller, Tim
Format:	Preprint
Published:	2026
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Twenty-Four Years of Empirical Research on Trust in AI: A Bibliometric Review of Trends, Overlooked Issues, and Future Directions
by: Benk, Michaela, et al.
Published: (2023)

Visual Evaluative AI: A Hypothesis-Driven Tool with Concept-Based Explanations and Weight of Evidence
by: Le, Thao, et al.
Published: (2024)

To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events
by: Mastrianni, Angela, et al.
Published: (2025)

Participatory, not Punitive: Student-Driven AI Policy Recommendations in a Design Classroom
by: Seki, Kaoru, et al.
Published: (2026)

From Evidence to Decision: Exploring Evaluative AI
by: Le, Thao, et al.
Published: (2024)

Same Feedback, Different Source: How AI vs. Human Feedback Shapes Learner Engagement
by: Morris, Caitlin, et al.
Published: (2026)

Beyond Isolation: Towards an Interactionist Perspective on Human Cognitive Bias and AI Bias
by: von Felten, Nick
Published: (2025)

ReflectEd: Evaluating Reflection-Driven Learning in an AI-Assisted System
by: Sakib, Md Nazmus, et al.
Published: (2025)

An Actionability Assessment Tool for Explainable AI
by: Singh, Ronal, et al.
Published: (2024)

Data selves and identity theft in the age of AI
by: Gorichanaz, Tim
Published: (2025)

Designing Human-AI Systems: Anthropomorphism and Framing Bias on Human-AI Collaboration
by: Olszewski, Samuel Aleksander Sánchez
Published: (2024)

Same Feedback, Different Source: How AI vs. Human Feedback Attribution and Credibility Shape Learner Behavior in Computing Education
by: Morris, Caitlin, et al.
Published: (2026)

Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
by: Beck, Jacob, et al.
Published: (2025)

On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction
by: Liang, Qingyu, et al.
Published: (2025)

Guided By AI: Navigating Trust, Bias, and Data Exploration in AI-Guided Visual Analytics
by: Ha, Sunwoo, et al.
Published: (2024)

Bias Beneath the Tone: Empirical Characterisation of Tone Bias in LLM-Driven UX Systems
by: Bodara, Heet, et al.
Published: (2025)

Reassessing Collaborative Writing Theories and Frameworks in the Age of LLMs: What Still Applies and What We Must Leave Behind
by: Yukita, Daisuke, et al.
Published: (2025)

Briteller: Shining a Light on AI Recommendations for Children
by: Zhou, Xiaofei, et al.
Published: (2025)

From Seeing it to Experiencing it: Interactive Evaluation of Intersectional Voice Bias in Human-AI Speech Interaction
by: Satish, Shree Harsha Bokkahalli, et al.
Published: (2026)

GestureCoach: Rehearsing for Engaging Talks with LLM-Driven Gesture Recommendations
by: Ram, Ashwin, et al.
Published: (2025)

Same Data, Diverging Perspectives: The Power of Visualizations to Elicit Competing Interpretations
by: Bearfield, Cindy Xiong, et al.
Published: (2024)

An Experimental Evaluation of an AI-Powered Interactive Learning Platform
by: Heldreth, Courtney, et al.
Published: (2025)

Color, Gender, and Bias: Examining the Role of Stereotyped Colors in Visualization-Driven Pay Decisions
by: Cabric, Florent, et al.
Published: (2025)

DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions
by: Lim, Chaeyeon
Published: (2025)

Can LLMs Synthesize Court-Ready Statistical Evidence? Evaluating AI-Assisted Sentencing Bias Analysis for California Racial Justice Act Claims
by: Komarla, Aparna
Published: (2026)

Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games
by: Berns, Sebastian, et al.
Published: (2024)

Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
by: Lau, Ka Hei Carrie, et al.
Published: (2026)

Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction
by: Lee, Soohwan, et al.
Published: (2026)

Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making
by: Spillner, Laura, et al.
Published: (2026)

An NLP-Driven Approach Using Twitter Data for Tailored K-pop Artist Recommendations
by: Kang, Sora, et al.
Published: (2025)

Same Project, Different Start: How Contribution Events Shape Activity and Retention in Open Source
by: Ouf, Mohamed, et al.
Published: (2026)

Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
by: Scully-Allison, Connor, et al.
Published: (2025)

Rethinking User Empowerment in AI Recommender System: Innovating Transparent and Controllable Interfaces
by: Wu, Mengke, et al.
Published: (2025)

Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology
by: Rosbach, Emely, et al.
Published: (2024)

Virtual Reality for Action Evaluation
by: Garcia, Mario De Lucas, et al.
Published: (2024)

Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance
by: Srivastava, Divya, et al.
Published: (2024)

Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
by: Kuo, Tzu-Sheng, et al.
Published: (2024)

Evaluating Actionability in Explainable AI
by: Mansi, Gennie, et al.
Published: (2026)

With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations
by: Waterschoot, Cedric, et al.
Published: (2025)

MindBenchAI: An Actionable Platform to Evaluate the Profile and Performance of Large Language Models in a Mental Healthcare Context
by: Dwyer, Bridget, et al.
Published: (2025)