ICRC and Brussels Privacy Hub
Handbook on Data Protection in Humanitarian Action
The baseline reference for privacy, protection, and responsible data use in humanitarian settings.
Early inventory
AI effectiveness, environmental accounting, labour conditions, corporate accountability, and humanitarian tech governance.
Guiding question
What does technology adoption cost the humanitarian sector, and who carries that cost?
No Neon-linked sources yet. Run `pnpm tsx scripts/ingest-sources.ts --dossier=cost-of-technology` after refreshing Neon credentials.
Linked sources
4
Curated source record
TNH-led evidence
1
The New Humanitarian reporting and analysis
ReliefWeb watch
0
Ready for approved API sync
Latest signal
pending
Newest linked source
Showing 4 of 4 records.
No dated signals are available yet.
Connection intelligence
Cited overlaps inside this dossier, with related dossiers surfaced when evidence crosses topics.
No synced source records are available for connection intelligence yet.
No cited overlaps yet
Sync dossier sources or refresh connection intelligence to build this map.
Source families
Ask Space · Research path
Assess where AI improves triage, translation, evidence synthesis, and planning, and where it introduces hallucination, bias, automation complacency, or false precision.
Hypotheses to test
Prompts to run
Connection cues
4 source records
Source record
ICRC and Brussels Privacy Hub
The baseline reference for privacy, protection, and responsible data use in humanitarian settings.
Access Now
A source family for rights-based concerns around AI deployment, surveillance, and accountability.
AlgorithmWatch
Useful for comparing public-sector automated decision systems and governance failures beyond the aid sector.
The New Humanitarian
A reporting stream for digital identity, surveillance, biometrics, AI, and the political economy of aid technology.