Case study 05IPPF · Global responsible AI

International Planned Parenthood Federation

Federation-wide guidance on the use of AI for research.

A governance-first, participatory process that turns existing good practice and IPPF's own policies into usable decisions for researchers, MEL teams and Member Associations across every region.

Resa Gooding leading an AI strategy workshop
Role
Team Lead, Quantum AI R&D
Scope
Global MA consultation
Regions
All five non-EN regions
Delivery
Trinidad & Tobago + Cyprus

The challenge

IPPF needed more than an AI policy. It needed operational guidance for a federated, values-led organization where research spans the full life cycle — monitoring, evaluation, learning and everyday evidence work.

The guidance had to enable proportionate use while protecting service users, participants, staff and organizational trust across many jurisdictions.

The approach

How the work is designed.

01

Principles first, tools second

Durable controls that do not depend on any particular vendor or model, with an updatable tool annex.

02

Risk follows data and task

Classification, purpose, affected people, reversibility and required assurance determine the control level.

03

Honest picture of use

Non-punitive, anonymised mapping that separates sanctioned use, shadow use, unmet needs and incidents.

04

Federation-wide relevance

Consultations across all five non-English regions with purposeful inclusion and documented contextual variation.

05

Human-in-the-loop, defined

An accountability mechanism with named reviewers and approval gates — not a generic disclaimer.

06

A living product

Named ownership, versioning, a six-month review cycle, adoption indicators and reusable adaptation tools.

How the proposal maps to IPPF's needs

IPPF needResponseDeliverable
Safe, practical guidanceTechnology-agnostic rulesDecision trees, worked examples, cheat sheets
Protection of people and dataService-user data boundaryClassification gates, human review, DPO sign-off
Federation-wide relevanceRegional consultationDocumented contextual variation
Living productGovernance ownershipVersioning and six-month review cycle

Governance built in

  • Personal records and interview material stay out of scope unless a named use case completes DPIA, ethics, DPO and MA approvals.
  • Good practice is attributed only with consent; risks, incidents and shadow use are never attributed.
  • Legal interpretation remains with IPPF Legal and the DPO.

Where it stands

  • One evidence chain connecting mapping and consultation to principles, controls, examples and adoption tools.
  • Reusable adaptation tools for Member Associations.
  • A governance product designed to evolve with the technology.
"Responsible AI has to be usable, or it will be ignored."
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