Cover Image

Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Suh, Ashley, Hurley, Isabelle, Smith, Nora, Siu, Ho Chit
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review
by: Gu, Edward, et al.
Published: (2025)

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
by: Hurley, Isabelle, et al.
Published: (2024)

In Pursuit of Predictive Models of Human Preferences Toward AI Teammates
by: Siu, Ho Chit, et al.
Published: (2025)

Inference of Human-derived Specifications of Object Placement via Demonstration
by: Cuellar, Alex, et al.
Published: (2025)

More Questions than Answers? Lessons from Integrating Explainable AI into a Cyber-AI Tool
by: Suh, Ashley, et al.
Published: (2024)

Why Would You Suggest That? Human Trust in Language Model Responses
by: Sharma, Manasi, et al.
Published: (2024)

Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
by: Donoso-Guzmán, Ivania, et al.
Published: (2023)

Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone
by: Gomez, Catalina, et al.
Published: (2024)

How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
by: Nguyen, Thu, et al.
Published: (2024)

Time2Stop: Adaptive and Explainable Human-AI Loop for Smartphone Overuse Intervention
by: Orzikulova, Adiba, et al.
Published: (2024)

Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
by: Rong, Yao, et al.
Published: (2022)

Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments
by: Shajalal, Md, et al.
Published: (2024)

Tell Me What You Want (What You Really, Really Want): Addressing the Expectation Gap for Goal Conveyance from Humans to Robots
by: Leahy, Kevin, et al.
Published: (2024)

XAIxArts Manifesto: Explainable AI for the Arts
by: Bryan-Kinns, Nick, et al.
Published: (2025)

Conversational Explanations: Discussing Explainable AI with Non-AI Experts
by: Zhang, Tong, et al.
Published: (2025)

The Effect of Explainable AI-based Decision Support on Human Task Performance: A Meta-Analysis
by: Haag, Felix
Published: (2025)

A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
by: De Silva, Chameera, et al.
Published: (2025)

Preliminary Quantitative Study on Explainability and Trust in AI Systems
by: Sunny, Allen Daniel
Published: (2025)

Emergent, not Immanent: A Baradian Reading of Explainable AI
by: Morreale, Fabio, et al.
Published: (2026)

Seamful XAI: Operationalizing Seamful Design in Explainable AI
by: Ehsan, Upol, et al.
Published: (2022)

Reversing the Lens: Using Explainable AI to Understand Human Expertise
by: Rahman, Roussel, et al.
Published: (2025)

Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
by: Cau, Federico Maria, et al.
Published: (2025)

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
by: Warren, Greta, et al.
Published: (2025)

Don't Just Translate, Agitate: Using Large Language Models as Devil's Advocates for AI Explanations
by: Suh, Ashley, et al.
Published: (2025)

Explainable AI for Automated User-specific Feedback in Surgical Skill Acquisition
by: Gomez, Catalina, et al.
Published: (2025)

User Decision Guidance with Selective Explanation Presentation from Explainable-AI
by: Fukuchi, Yosuke, et al.
Published: (2024)

XAI for All: Can Large Language Models Simplify Explainable AI?
by: Mavrepis, Philip, et al.
Published: (2024)

ACE, Action and Control via Explanations: A Proposal for LLMs to Provide Human-Centered Explainability for Multimodal AI Assistants
by: Watkins, Elizabeth Anne, et al.
Published: (2025)

Explainable AI for Maritime Autonomous Surface Ships (MASS): Adaptive Interfaces and Trustworthy Human-AI Collaboration
by: Zhang, Zhuoyue, et al.
Published: (2025)

Interview-Informed Generative Agents for Product Discovery: A Validation Study
by: Wang, Zichao, et al.
Published: (2026)

How to Measure Human-AI Prediction Accuracy in Explainable AI Systems
by: Koujalgi, Sujay, et al.
Published: (2024)

Survey for Categorising Explainable AI Studies Using Data Analysis Task Frameworks
by: Ziadeh, Hamzah, et al.
Published: (2025)

Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care
by: Clark, Jeffrey N., et al.
Published: (2024)

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning
by: Ma, Jiaqi, et al.
Published: (2024)

Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning
by: Gyevnar, Balint, et al.
Published: (2025)

Explainable Model Routing for Agentic Workflows
by: Okamoto, Mika, et al.
Published: (2026)

Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public
by: Xu, Xuhai, et al.
Published: (2025)

Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition
by: Seifi, Sarah, et al.
Published: (2025)

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
by: Ye, Runlong, et al.
Published: (2025)

Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
by: Ehsan, Upol, et al.
Published: (2024)