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Concept
Black-box Models
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Summary
Black-box Models
are
Complex Systems
whose
Internal Workings
are not easily interpretable by humans, often used in
Machine Learning
and
Artificial Intelligence
. They provide
Accurate Predictions
or decisions but
Lack transparency
, raising concerns about trust, accountability, and explainability.
Concepts
Machine Learning
Artificial Intelligence
Model Interpretability
Explainable AI
Transparency
Accountability
Trust In AI
Algorithmic Fairness
Complex Systems
Local Interpretable Model-agnostic Explanations
Model Interpretation
Shadow Modeling
LIME (Local Interpretable Model-agnostic Explanations)
Model-agnostic Methods
Model Agnosticism
Relevant Degrees
Computer Science and Data Processing 67%
Computational Mathematics 33%
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