Definition
XAI refers to the effort in artificial intelligence research and development to create machine learning models whose decisions and processes can be understood by humans. This includes methods for improving transparency, interpretability, and trustworthiness of AI systems.
Key Concepts
- Transparency: Making the workings of an AI system understandable.
- Interpretability: The ability to explain or present the output of a model in a comprehensible way.
- Trust: Building user confidence that an AI system will behave as intended.
Related Technologies:
- machine-learning
- neural-networks
- privacy-and-security
Applications
- Healthcare: Enhancing patient trust by explaining medical diagnoses and treatment plans.
- Finance: Providing clear explanations for loan approvals or denials