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AI in the humanitarian sector

AI in the Humanitarian Sector Online

  • Dates: Tuesdays 14:00-16:00 (UTC+1/BST), starting on 16th September 2025. The course will end on 7th October 2025.
  • Fees: £245 per person
  • Online

Designed by RedR UK and RedR Australia, this on-line, facilitated training aims to help humanitarians better understand, use, monitor, and critically reflect on the use of AI in the humanitarian sector, grounded in humanitarian principles and practice. Instead of providing tips and tricks for specific AI Tools, this course provides an introduction to the potential benefits, challenges, and risks posed by AI in the humanitarian sector that learners can use as a foundation on which to build more advanced skills.

This course is composed of four live sessions, with individual group work assigned between each session. 

What does the course cover?

By the end of the training, you will be able to:

  • Define key concepts in Artificial Intelligence (AI), including machine learning, natural language processing, and computer vision,
  • Identify potential applications of AI in the humanitarian sector,
  • Explain ethical considerations of using AI in humanitarian response, including bias, privacy concerns, and potential harm using the humanitarian principles as a framework for analysis,
  • Recognise potential risks of AI in humanitarian work and name potential mitigation strategies,
  • Critically assess AI tools and use the humanitarian principles to evaluate their suitability for specific humanitarian contexts.

Course Structure

This course is a blended learning programme comprising the following:

  • Four highly interactive modules, each an online facilitated session of 2 hours.
  • Up to one hour of asynchronous solo learning (homework/ reading) before each taught module.

Total participant time commitment required: 12 hours.

Timeline:

The 4 facilitated sessions will be held on Tuesdays 14:00-16:00 (UTC+1/BST), starting on 16th September 2025. The course will end on 7th October 2025.

Participants will need to be present entirely for all online facilitated sessions and would also be expected to complete approximately one hour homework/ reading before each taught module..

Who should attend?

Humanitarian practitioners interested in building their foundational understanding of the use of AI in humanitarian response

Where is it hosted?  

The live online sessions are hosted on Zoom. We recommend joining via the Zoom app. Participants may join the training via a browser, although the browser offers limited access to some of the interactive features of the training. Participants will be expected to have a stable internet connection and to actively participate in all facilitated sessions. Because of the interactive nature of the course, participants are also encouraged to keep their cameras on throughout each session. Participants will receive instructions on how to join the course after registration.

How much does the course cost?  

Fees: £245 per person

How to join

If you would like to attend, please register through Eventbrite. You will receive instructions on how to join the course after registration.

HPass badge

Upon completion of the training, participants will be eligible to apply for a HPass Badge, a digital indicator of achievement, and a way for participants to demonstrate their skills and experience in the humanitarian sector. You can find more information on HPass Badges here.

Any questions? Check out our FAQs here and our T&Cs here.

If you have any questions about this course or require further information, please contact training@redr.org.uk.

In case of any complaints, please email complaints@redr.org.uk.

RedR UK is committed to making sure everyone’s needs are met, including people of different genders, ages and disabilities. If you have any specific access requirements or learning needs RedR UK is committed to try and make reasonable adjustments to support your needs, please email training@redr.org.uk at any stage of the booking process to talk directly to RedR UK about your needs.