Overview
This consultancy adapts UNICEF’s AI Risk Assessment Framework into an operational approach to support early, expert-led assessment of the PHIT AI Diagnostic and Treatment App, while evolving into a tool for national health officials. The assignment facilitates timely, risk-informed decisions to accelerate the application's design, procurement, and implementation, while strengthening government capacity.
Key Responsibilities
- Adapt UNICEF’s AI Risk Assessment Framework into an operational approach.
- Support early, expert-led assessment of the PHIT AI Diagnostic and Treatment App.
- Evolve the framework into a tool for national health officials.
- Facilitate timely, risk-informed decisions for application design, procurement, and implementation.
- Strengthen government capacity through tool development and training.
- Separate framework application from tool creation.
- Deliver the consultancy over approximately 20 weeks, structured across four phases.
- Workstream 1: Focuses on the early application of an adapted AI Risk Assessment Framework to assess the PHIT AI Diagnostic and Treatment App.
- Workstream 2: Focuses on developing, validating, and institutionalising a user-friendly AI Risk Assessment Tool and governance framework for long-term government use.
- Phase 1: Establishes a shared interim framework through co-design, regulatory review, and gap analysis.
- Phase 2: Prioritises initial risk assessment of the PHIT application, while initiating testing and validation of the framework and tool with government users.
- Phase 3: Integrates findings from both workstreams into comprehensive risk mitigation and governance guidance.
- Phase 4: Finalises the unified framework, tool, and implementation package, and support capacity building and institutionalisation.
Required Experience
- A minimum of 5 years of professional experience in AI governance, digital health governance, technology risk assessment or related fields.
- Experience working in the health sector, preferably in public health or health systems contexts.
- Experience engaging with senior government counterparts and facilitating co-designing processes, including capacity building and systems strengthening.
Qualifications
• Masters in artificial intelligence, data science, computer science, public health, health informatics, or a related field.
