# Explainable Artificial Intelligence (XAI)

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/explainable-artificial-intelligence-xai/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on Explainable Artificial Intelligence (XAI) and the development of interpretable models, visual explanations, and responsible machine learning interpretability. It explores concepts, challenges, and opportunities in XAI, including the use of gradient-based localization, understanding deep neural networks, feature importance, and addressing black box models. The papers also discuss the responsibility and ethical considerations in AI. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12026 |
| Works | 136 |

## Topic papers all

Showing 15 of 136.

- [From local explanations to global understanding with explainable AI for trees](https://scholariq.org/papers/from-local-explanations-to-global-understanding-with-explainable-ai-for-trees/)
- [XAI—Explainable artificial intelligence](https://scholariq.org/papers/xai-explainable-artificial-intelligence/)
- [Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence](https://scholariq.org/papers/interpreting-black-box-models-a-review-on-explainable-artificial-intelligence/)
- [Explainable artificial intelligence: a comprehensive review](https://scholariq.org/papers/explainable-artificial-intelligence-a-comprehensive-review/)
- [Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI](https://scholariq.org/papers/reporting-guideline-for-the-early-stage-clinical-evaluation-of-decision-support/)
- [Challenges and Future Directions of Big Data and Artificial Intelligence in Education](https://scholariq.org/papers/challenges-and-future-directions-of-big-data-and-artificial-intelligence-in/)
- [Extracting Tree-Structured Representations of Trained Networks](https://scholariq.org/papers/extracting-tree-structured-representations-of-trained-networks/)
- [Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness](https://scholariq.org/papers/machine-learning-and-artificial-intelligence-research-for-patient-benefit-20/)
- [Metrics reloaded: recommendations for image analysis validation](https://scholariq.org/papers/metrics-reloaded-recommendations-for-image-analysis-validation/)
- [Transparency and trust in artificial intelligence systems](https://scholariq.org/papers/transparency-and-trust-in-artificial-intelligence-systems/)
- [Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies](https://scholariq.org/papers/education-for-ai-not-ai-for-education-the-role-of-education-and-ethics-in/)
- [A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence](https://scholariq.org/papers/a-research-agenda-for-hybrid-intelligence-augmenting-human-intellect-with/)
- [Living systematic reviews: 2. Combining human and machine effort](https://scholariq.org/papers/living-systematic-reviews-2-combining-human-and-machine-effort/)
- [Applications of Explainable Artificial Intelligence in Diagnosis and Surgery](https://scholariq.org/papers/applications-of-explainable-artificial-intelligence-in-diagnosis-and-surgery/)
- [Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency](https://scholariq.org/papers/machine-intelligence-in-healthcare-perspectives-on-trustworthiness/)

## Topic primary papers

Showing 15 of 34.

- [From local explanations to global understanding with explainable AI for trees](https://scholariq.org/papers/from-local-explanations-to-global-understanding-with-explainable-ai-for-trees/)
- [XAI—Explainable artificial intelligence](https://scholariq.org/papers/xai-explainable-artificial-intelligence/)
- [Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence](https://scholariq.org/papers/interpreting-black-box-models-a-review-on-explainable-artificial-intelligence/)
- [Explainable artificial intelligence: a comprehensive review](https://scholariq.org/papers/explainable-artificial-intelligence-a-comprehensive-review/)
- [Transparency and trust in artificial intelligence systems](https://scholariq.org/papers/transparency-and-trust-in-artificial-intelligence-systems/)
- [A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence](https://scholariq.org/papers/a-research-agenda-for-hybrid-intelligence-augmenting-human-intellect-with/)
- [Applications of Explainable Artificial Intelligence in Diagnosis and Surgery](https://scholariq.org/papers/applications-of-explainable-artificial-intelligence-in-diagnosis-and-surgery/)
- [A Review on Explainability in Multimodal Deep Neural Nets](https://scholariq.org/papers/a-review-on-explainability-in-multimodal-deep-neural-nets/)
- [Physician understanding, explainability, and trust in a hypothetical machine learning risk calculator](https://scholariq.org/papers/physician-understanding-explainability-and-trust-in-a-hypothetical-machine/)
- [Explainability of deep neural networks for MRI analysis of brain tumors](https://scholariq.org/papers/explainability-of-deep-neural-networks-for-mri-analysis-of-brain-tumors/)
- [Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey](https://scholariq.org/papers/explainable-artificial-intelligence-xai-for-internet-of-things-a-survey/)
- [XAI for intrusion detection system: comparing explanations based on global and local scope](https://scholariq.org/papers/xai-for-intrusion-detection-system-comparing-explanations-based-on-global-and/)
- [Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation](https://scholariq.org/papers/explaining-deep-learning-models-for-tabular-data-using-layer-wise-relevance/)
- [Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens](https://scholariq.org/papers/evaluating-explainable-artificial-intelligence-xai-techniques-in-chest-radiology/)
- [Fairness via Explanation Quality](https://scholariq.org/papers/fairness-via-explanation-quality/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.