AI solutions for humanitarian challenges

UKHIH
Output type
Article
Location
Philippines
Kenya
Uganda
Cameroon
Nepal
Palestine
Egypt
Yemen
Focus areas
Artificial intelligence and emerging technologies
Topics
Artificial Intelligence
Programme
Humanitarian Innovation
Organisations
United Kingdom Humanitarian Innovation Hub
Credit: Yasmine Boudiaf & LOTI

What is the innovation?

We’re working together with Elrha to deliver ‘AI Solutions for Humanitarian Challenges’ initiative. Designed to support the uptake of artificial intelligence (AI) technologies in the humanitarian sector, the initiative aims to deliver on an integrated programme of funding collaborative partnerships, capacity building, interdisciplinary research and development, stakeholder mapping, knowledge sharing, and advocacy. This will demonstrate and inform effective ways forward for the humanitarian sector.

How is this achieved?

The initiative has conducted foundational research to map potential AI applications across the phases of humanitarian response and identify opportunities, risks, and barriers to AI adoption. The initiative has also developed a learning journey that provides technical expertise and capacity strengthening to grantees, ensuring they are equipped to utilise AI solutions effectively and responsibly. Developed with a small cohort, the learning will be made available for the wider humanitarian community.

The data logic within the initiative is grounded in comprehensive mapping and research that combine document reviews, expert consultations, and practical experiences. It involves a systematic approach to identifying and evaluating the acceptability, feasibility, cost-effectiveness, and risk mitigation of potential AI applications within the humanitarian sector. This ensures that the data used and generated is of high quality, relevant, and securely managed to support AI implementation effectively.

What are the outcomes?

  • A series of AI related scenarios developed to address specific humanitarian challenges identified during the foundational research phase.
  • A strengthened capacity of humanitarian organisations in AI adoption through tailored training programs and support.
  • A comprehensive report detailing the potential, challenges, and ethical considerations of AI in the humanitarian sector (resources available below)
  • Increased collaboration and knowledge sharing among stakeholders in the humanitarian and AI sectors, leading to more informed and effective responses to humanitarian crises.

Working in partnership

Partners include academic and technical experts from University College London and other global institutions. Each partner brings a unique set of skills and resources:

They are partnering with Dr Davor Orlic, International Artificial Intelligence Research Centre (IRCAI); Dr Stephen Moore, University of Cape Coast (Ghana), Olubayo Adekanmbi and colleagues from the Data Scientists Network Foundation (Nigeria), and Dr Pratisthit Lal Shrestha, Kathmandu University (Nepal).

The team are supported by an advisory group made of leading experts in the fields of AI and humanitarianism. These include Professor John Shawe-Taylor (Chair of Computational Statistics and Machine Learning; Director of the Centre for Computational Statistics; and UNESCO Chair in Artificial Intelligence); Dr Victoria Austin (UCLIC) and Andrej Verity (AI Transformation Lead at UN OCHA).

To date, what have we achieved?

Other resources

explore all resources
Clinical and Biochemical Markers of Risk in Uncomplicated Severe Acute Malnutrition
Final Report: Innovating Disaster Microinsurance for Local Market Recovery
Final Report: Treatment and safe disposal of excreta in emergencies
Artificial intelligence and emerging technologies
Artificial Intelligence
Global
Africa
Asia
Middle East
Philippines
Kenya
Uganda
Cameroon
Nepal
Palestine
Egypt
Yemen
United Kingdom Humanitarian Innovation Hub