Test meaningful consent
Check whether people have a real choice and understand the consequences.
Research and evidence
Consent, identity matching and provider trust
A briefing on consent, identity matching and the trust conditions for sharing data with AI providers.
- Publisher
- MarketImpact
- Provenance
- AidGPT research briefing based on MarketImpact analysis
- Published
- Review completed
- Review due
- Level
- Strategic
- Reading time
- 10 min
Who this is for
- Practitioners
- Governance and IT
- Researchers
Topics
- Data protection
- Humanitarian operations
- AI governance
AidGPT practice boundary
Use the source without outsourcing judgement
Practise with fictional or synthetic material before considering real work. Keep the task bounded, verify outputs against approved sources, and leave consequential decisions with an accountable person.
Put this into practice
Assess the provider relationship
Examine control, transparency and accountability across the data flow.
Source and provenance
MarketImpact remains the canonical publisher
This AidGPT page is a learning adaptation of the catalogue source. Use the practical actions here, and consult the canonical publication for the original commentary or research.
Read the canonical MarketImpact source (opens in a new tab)