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Within artificial intelligence (AI), explainable AI (XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans with the ability of intellectual oversight over AI algorithms. The main focus is on the reasoning behind the decisions or predictions made by the AI…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SOPHIE that could act as an | instance of | Research in intelligent tutoring systems resulted in developing systems | 0.80 | text |
| Explainable artificial intelligence | related to External links | Leaders | 0.60 | section |
| Explainable artificial intelligence | related to External links | AI | 0.60 | section |
| Explainable artificial intelligence | related to External links | October | 0.60 | section |
| Explainable artificial intelligence | related to External links | World Conference | 0.60 | section |
| Explainable artificial intelligence | related to External links | Artificial Intelligence | 0.60 | section |
| Explainable artificial intelligence | related to External links | ACM Conference | 0.60 | section |
| Explainable artificial intelligence | related to External links | Fairness | 0.60 | section |
| Explainable artificial intelligence | related to External links | Accountability | 0.60 | section |
| Explainable artificial intelligence | related to External links | Transparency | 0.60 | section |
| Explainable artificial intelligence | related to External links | FAccT | 0.60 | section |
| Explainable artificial intelligence | related to External links | Mazumdar | 0.60 | section |
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