AI Ethics
AI ethics defines principles, policies and governance mechanisms for the responsible design and use of artificial intelligence. It covers risk assessment, bias mitigation, transparency, accountability and regulatory compliance, plus organizational processes for monitoring, evaluating and continuously improving AI systems in products and decision workflows. It includes policies and audit practices.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
Relations
Connected blocks
Directly linked content elements.