AI Principles
AI Design Principles
The foundational principles for designing AI-powered product experiences that are useful, trustworthy, and genuinely human-centred.
Value & Fit(3)Clarity & Trust(2)Control & Oversight(2)Safety & Responsibility(3)Data & System Quality(3)Adaptation & Improvement(2)Inclusion & Human Context(2)
Value & Fit
3 principles
- Familiarity and LearnabilityUnavailable
- User Value First
Use AI only where it creates clear user value rather than novelty.
Value & Fit - Task and Context FitUnavailable
Clarity & Trust
2 principles
- Clarity of Capability, Limits, and ConfidenceUnavailable
- Transparency, Explainability, and ProvenanceUnavailable
Control & Oversight
2 principles
- Progressive and Appropriate AutomationUnavailable
- User Control and Human OversightUnavailable
Safety & Responsibility
3 principles
- Safety, Graceful Failure, and RecoveryUnavailable
- Privacy, Consent, and Permission AwarenessUnavailable
- Fairness and Bias MitigationUnavailable
Data & System Quality
3 principles
- Performance and ResponsivenessUnavailable
- Data Quality and MaintenanceUnavailable
- Operational RobustnessUnavailable
Adaptation & Improvement
2 principles
- Feedback and Continuous ImprovementUnavailable
- Adaptation with PredictabilityUnavailable
Inclusion & Human Context
2 principles
- Accessibility and InclusionUnavailable
- Expert Support in High-Stakes UseUnavailable