Human-Centered AI Implementation Model
A five-pillar guide for integrating AI into enterprise settings with clear metrics, stakeholder communication, and long-term ROI alignment.
It has been applied in real-world scenarios across healthcare, enterprise software, digital public services, and international development.
Each pillar addresses a critical stage of AI deployment—from data intake and diagnostic validation to ethics, law, and human override—ensuring all decisions are auditable, fair, and explainable.
Year
2024
Client
(NDA)
Services
UI Design, Development
Project goals
This model provides a practical guide for building AI systems that elevate work and respect people. Developed through market and terrain research, it supports organizations in aligning technology deployment with human capabilities, ethical oversight, and real productivity outcomes.
The model includes 5 actionable pillars:
Embed Frameworks: Use PROSPER for governance and ALT for technical layering.
Tailor to Context: Apply risk-based oversight by domain and potential impact.
Invest in Human Capability: Center training, empowerment, and active feedback loops.
Track What Matters: Define success using fairness, explainability, and trust KPIs.
Bridge to Productivity Economics: Build data-driven evidence of impact across sectors.
When to Use:
Ideal for organizations implementing AI in public services, regulated industries, or knowledge sectors. This model ensures technology adoption remains grounded in values, accountability, and measurable outcomes.
Value:
By integrating governance, metrics, and people-centered design, this model helps ensure AI tools empower rather than replace human roles—supporting sustainable innovation that enhances both institutional effectiveness and human agency.
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