Teaching GuideTerm
Faculty of Computer Science
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Máster Universitario en Intelixencia Artificial
 Subjects
  Explainable and Trustworthy AI
   Contents
Topic Sub-topic
Explainability and interpretability. Model-agnostic methods. Explanations based on examples. FAT-E (fairness, accountability, transparency and ethics). Study and types of biases. Types and models of explanation. Evaluation methodologies. Data integrity, privacy, confidentiality and robustness
of models. Reliability by design
Explainability and interpretability. Model-agnostic methods. Explanations based on examples. FAT-E (fairness, accountability, transparency and ethics). Study and types of biases. Types and models of explanation. Evaluation methodologies. Data integrity, privacy, confidentiality and robustness
of models. Reliability by design
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