360°
Concept#Artificial Intelligence#Governance

Responsible AI

Responsible AI provides principles and practices to ensure AI and machine learning systems are fair, transparent, accountable, and aligned with societal values. It guides governance, risk management, and lifecycle practices across development and deployment. Organizations use it to reduce harms and increase trust in AI-driven products.

This block bundles baseline information, context, and relations as a neutral reference in the model.

Open 360° detail view

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
Organizational level
Enterprise
Organizational maturity
Intermediate
Impact area
Organizational
Decision
Decision type
Organizational
Value stream stage
Discovery
Assessment
Complexity
High
Maturity
Emerging
Cognitive load
High

Context in the model

Structural placement

Where this block lives in the structure.

Theme space
AI & Organizational Impact
Theme area
Governance, Risk & Responsibility
Segment
Ethics
#Governance#Security
Theme space
User & Context
Theme area
Ethics & Sustainability in Tech
Segment
Responsible Data & Artificial Intelligence
#AI#Machine Learning

Relations

Connected blocks

Directly linked content elements.

Process · Influences
(1)
AI Safety Evaluation
Method
Structure · Contains
(1)
Artificial Intelligence (AI)
Concept