explainable ai
Explainable AI refers to the development of artificial intelligence systems that can provide understandable and transparent explanations or justifications for their decisions and actions, allowing users to comprehend the reasoning behind the AI's behavior.
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Related Concepts (24)
- algorithmic accountability
- artificial general intelligence
- black box ai
- concept drift detection and explanations
- counterfactual explanations in ai
- deep learning
- ethical considerations in ai
- explainability of natural language processing models
- explainability of reinforcement learning
- explainability vs accuracy trade-offs
- explainable ai in autonomous systems
- explainable ai in finance
- explainable ai in healthcare
- fairness and bias in ai
- human-centric ai
- interpretable deep learning
- interpretable machine learning
- legal and regulatory implications of explainable ai
- model visualization and explanations
- super human intelligence
- transparency in ai systems
- trustworthiness of ai systems
- value learning in ai
- xai (explainable artificial intelligence) techniques
Similar Concepts
- accountability and transparency in ai
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