Explainable AI (XAI)
Ethics & Safety
The ability to explain and interpret how an AI system arrives at its decisions in human-understandable terms.
Detailed Explanation
Explainability refers to the capacity of an AI system to provide clear, understandable reasons for its decisions and actions. It is crucial for building trust, ensuring transparency, and identifying biases or errors. By making AI processes interpretable, stakeholders can better assess system reliability, compliance with regulations, and ethical considerations, ultimately contributing to safer and more responsible AI deployment.
Use Cases
- •Use case: Enhancing patient trust by explaining AI diagnoses in understandable language for better acceptance and regulatory compliance.
Related Terms
Other terms in the Ethics & Safety category