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🔧 Design Operations
Responsible AI Framework
Kontent.ai
Strategic initiative establishing ethical AI principles and governance framework across the product organization – providing shared language for evaluating AI features.
🎯 Overview
Defined and facilitated adoption of Responsible AI principles tailored to enterprise CMS context, providing shared language for evaluating AI features.
🔧 Framework Development
Defined 7 core Responsible AI principles adapted to enterprise CMS context.
- Fairness – Ensuring AI features work equitably across diverse content types and user scenarios
- Human Agency & Control – Keeping humans in decision-making loop with clear approval flows
- Transparency – Making AI behavior and decision-making process visible and understandable
- Privacy & Security – Protecting customer content and ensuring data handling compliance
- Accountability – Clear ownership and audit trails for AI-driven actions
- Safety & Reliability – Robust error handling and fallback mechanisms
- Sustainability – Considering environmental impact of AI feature deployment
🎓 Implementation & Facilitation
Led cross-functional workshops and created practical implementation guidance.
- Cross-functional workshops mapping existing and planned AI features to responsible AI principles
- Gap analysis identifying areas where product doesn't yet meet ethical AI standards
- Practical roadmap for product teams to implement principles in day-to-day design decisions
- Stakeholder alignment across design, engineering, product management, and leadership
🌊 Impact
The framework provides shared language and clear criteria for evaluating AI features, helping teams make ethical design decisions early in the development process rather than retrofitting responsibility after launch.