Image de couverture de livre

Defining Explainable AI for Requirements Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sheh, Raymond, Monteath, Isaac
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Identifying the Supply Chain of AI for Trustworthiness and Risk Management in Critical Applications
par: Sheh, Raymond K., et autres
Publié: (2025)

Defining neurosymbolic AI
par: De Smet, Lennert, et autres
Publié: (2025)

Assessing Model-Agnostic XAI Methods against EU AI Act Explainability Requirements
par: Sovrano, Francesco, et autres
Publié: (2026)

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

A Multi-Layered Research Framework for Human-Centered AI: Defining the Path to Explainability and Trust
par: De Silva, Chameera, et autres
Publié: (2025)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
par: Umm-e-Habiba, et autres
Publié: (2022)

An Information-Flow Perspective on Explainability Requirements: Specification and Verification
par: Finkbeiner, Bernd, et autres
Publié: (2025)

QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems
par: Shaik, Thanveer, et autres
Publié: (2023)

Is Trust Correlated With Explainability in AI? A Meta-Analysis
par: Atf, Zahra, et autres
Publié: (2025)

Dataset | Mindset = Explainable AI | Interpretable AI
par: Wu, Caesar, et autres
Publié: (2024)

Advancing Explainable AI with Causal Analysis in Large-Scale Fuzzy Cognitive Maps
par: Tyrovolas, Marios, et autres
Publié: (2024)

Position: AI Safety Requires Effective Controllability
par: Li, Yige, et autres
Publié: (2026)

Towards Explainable Stakeholder-Aware Requirements Prioritisation in Aged-Care Digital Health
par: Xiao, Yuqing, et autres
Publié: (2026)

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features
par: Lago, Miguel A., et autres
Publié: (2025)

Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
par: Manna, Supriya, et autres
Publié: (2024)

Ethical AI: Towards Defining a Collective Evaluation Framework
par: Sharma, Aasish Kumar, et autres
Publié: (2025)

Legal Requirements Analysis
par: Abualhaija, Sallam, et autres
Publié: (2023)

LLM Driven Processes to Foster Explainable AI
par: Pehlke, Marcel, et autres
Publié: (2025)

Explainable AI the Latest Advancements and New Trends
par: Long, Bowen, et autres
Publié: (2025)

Explainable AI Methods for Multi-Omics Analysis: A Survey
par: Hussein, Ahmad, et autres
Publié: (2024)

Explainable AI for Comparative Analysis of Intrusion Detection Models
par: Corea, Pap M., et autres
Publié: (2024)

Preventing the Collapse of Peer Review Requires Verification-First AI
par: You, Lei, et autres
Publié: (2026)

Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
par: Stegherr, Helena, et autres
Publié: (2026)

Explainable AI needs formalization
par: Haufe, Stefan, et autres
Publié: (2024)

Defining Operational Conditions for Safety-Critical AI-Based Systems from Data
par: Christensen, Johann Maximilian, et autres
Publié: (2026)

Explainable AI for Correct Root Cause Analysis of Product Quality in Injection Moulding
par: Muaz, Muhammad, et autres
Publié: (2025)

Technical Requirements for Halting Dangerous AI Activities
par: Barnett, Peter, et autres
Publié: (2025)

Increasing AI Explainability by LLM Driven Standard Processes
par: Jansen, Marc, et autres
Publié: (2025)

A Critical Survey on Fairness Benefits of Explainable AI
par: Deck, Luca, et autres
Publié: (2023)

Explainable Human-AI Interaction: A Planning Perspective
par: Sreedharan, Sarath, et autres
Publié: (2024)

Investigating the Role of Explainability and AI Literacy in User Compliance
par: Kühl, Niklas, et autres
Publié: (2024)

Generative AI Literacy: Twelve Defining Competencies
par: Annapureddy, Ravinithesh, et autres
Publié: (2024)

Position: Require Frontier AI Labs To Release Small "Analog" Models
par: Upadhyay, Shriyash, et autres
Publié: (2025)

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI
par: Zhang, Sha, et autres
Publié: (2025)

A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
par: Malinga, Melusi, et autres
Publié: (2024)

Advancements in Crop Analysis through Deep Learning and Explainable AI
par: Khan, Hamza
Publié: (2025)

AI Autonomy Coefficient ($α$): Defining Boundaries for Responsible AI Systems
par: Mairittha, Nattaya, et autres
Publié: (2025)

Beyond Explainability: The Case for AI Validation
par: Feldman, Dalit Ken-Dror, et autres
Publié: (2025)

Rethinking Explainability in the Era of Multimodal AI
par: Agarwal, Chirag
Publié: (2025)

Explainable AI For Early Detection Of Sepsis
par: Thakur, Atharva, et autres
Publié: (2025)