PatternFly AI Principles
Five core principles forming an ethics-first framework for AI design in PatternFly, covering accountability, transparency, and human-centred approaches.
-
Accountability
Take responsibility for AI systems and their outcomes, ensuring proper oversight and governance throughout the design and development process.
-
Explainability
Make AI decision-making processes understandable, allowing users and stakeholders to comprehend how and why AI reaches its conclusions.
-
Transparency
Be open about when AI is being used, its capabilities and limitations, and how it makes decisions. Keep users informed and in control.
-
Fairness
Design AI systems that treat all users equitably, actively working to identify and mitigate bias in data, algorithms, and outcomes.
-
Human-centeredness
Ensure AI enhances rather than replaces human abilities. Nurture collaboration, welcome multiple perspectives, and always validate AI output for accuracy.