XAI—Explainable artificial intelligence
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Summary
This research presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually cataloging and cataloging artificial intelligence applications.
- Type
- review
- Published
- 2019-12-18
- Cited by
- 1,782
- References
- 9
- Access
- Open access
- OpenAlex
- https://openalex.org/W2995523160
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:210040787
Keywords
Computer science, Artificial intelligence, Artificial Intelligence System, Data science
References
- Intelligibility and Accountability: Human Considerations in Context-Aware Systems
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning
- Explanation in Artificial Intelligence: Insights from the Social Sciences
- Explainable and Interpretable Models in Computer Vision and Machine Learning
- Designing Theory-Driven User-Centric Explainable AI
- Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
- Explanation and Justification in Machine Learning : A Survey Or
- Grounding in communication
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- The explanation game: a formal framework for interpretable machine learning
- Évolutions de l’Intelligence Artificielle : quels enjeux pour l’activité humaine et la relation Humain‑Machine au travail ?
- Towards the Role of Theory of Mind in Explanation
- What is AI Literacy? Competencies and Design Considerations
- Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria
- To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
- Recent advances of HCI in decision-making tasks for optimized clinical workflows and precision medicine
- Counterfactual Explanations of Concept Drift
- Applications of artificial intelligence for disaster management
- Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
- Ensembles and Cascading of Embedded Prototype Subspace Classifiers
- Cryptocurrency Valuation: An Explainable AI Approach
- Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
- Interpretable Real-Time Win Prediction for Honor of Kings—A Popular Mobile MOBA Esport
- Transparency and granularity in the SP Theory of Intelligence and its realisation in the SP Computer Model
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