Search Results
4 results for “transparency”
AI Ethics
AI ethics is the branch of applied ethics addressing the moral dimensions of designing, deploying, and governing artificial intelligence systems — covering fairness, accountability, transparency, privacy, and safety.
Explainable AI
Explainable AI (XAI) refers to methods and techniques that make the decisions and predictions of artificial intelligence systems interpretable and understandable to human users, addressing the opacity of complex machine learning models.
Model Cards
Model cards are structured documentation sheets accompanying machine learning models that disclose intended uses, performance characteristics, training data, limitations, and ethical considerations.
Responsible AI
A framework of principles and practices that guide the development and deployment of artificial intelligence systems to ensure they are safe, fair, transparent, accountable, and aligned with human values.