Google's AI flood forecasting predicts riverine floods up to 7 days in advance. In March 2024 it covered 80 countries and 460 million people.
Google, How Google uses AI to improve global flood forecastingJournal · The world with AI
The world with AI: where does it help people?
First entry
Entry 01: what exists today
This journal records the work of Metatron with humanitarian organisations. It opens with a survey: where AI already helps people, and who works on it.
Aid work already uses AI for flood warnings, hunger monitoring and tuberculosis screening. The United Nations humanitarian office names routine work such as report drafting and data formatting as a place where AI can save aid teams time.
Every claim on this page links to its source. New entries are added with their date.
Measured news on this subject
DeepMind's WeatherNext model achieves breakthrough forecasting cyclones
OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctors
Where AI already helps
Early warning systems reduce flood-related fatalities by up to 43%. Almost 90% of the 1.8 billion people exposed to flood risk live in low- and middle-income countries.
Nature, Global prediction of extreme floods in ungauged watersheds (2024)The World Food Programme runs HungerMap LIVE, a real-time, AI-powered platform that monitors food security around the world.
World Food Programme, Innovation and technologyThe World Health Organization's tuberculosis screening guideline lists computer-aided detection software among its recommended screening tools, next to chest radiography and rapid molecular tests.
WHO consolidated guidelines on tuberculosis, module 2: screeningThe United Nations humanitarian office writes: "AI has the potential to drive operational gains for humanitarians through enhanced efficiency in routine tasks like report drafting and data formatting." The same note asks that every AI policy comes with a data policy.
UN OCHA, Briefing Note on Artificial Intelligence and the Humanitarian SectorWho works on it
Organisations and programmes in aid, data and technology, read on 13 October 2026. Each name links to the organisation's own site.
Networks
United Nations programmes
Aid organisations
Pro bono and skilled volunteering
Continue the evidence trail
Method
Attention is measured, not guessed: every Hacker News story from 1 Jan 2026 with more than 300 points and an AI subject (631 stories), read through the public search interface on 11 Oct 2026, grouped by the question behind the story. Survey figures come from published polls with four-digit samples and are linked.