AI for Humanitarians offers a practical and principled introduction to the use of artificial intelligence in humanitarian work.
Presented by RedR UK and RedR Australia, this online course aims to help humanitarians better understand, use, monitor and critically reflect on the use of artificial intelligence (AI) in the humanitarian sector.
Grounded in humanitarian principles and practice, the course avoids tips and tricks for specific AI tools, and instead provides an introduction to the potential benefits, challenges and risks posed by AI in the humanitarian sector. Participants can then use this knowledge as a foundation to build more advanced skills.
Who is this course for?
The AI for Humanitarians course is designed for practitioners interested in building a foundational understanding of AI in humanitarian response.
The course is in English and you need to have a reasonable proficiency of the English language.
Not sure if this course is right for you? Contact our training team for more information: [email protected]
Learning aims & objectives
Aim
To provide participants with the foundational knowledge and ethical framework to decide whether or not to integrate AI in their work in the humanitarian sector.
Course objectives
By the end of the course, you will be able to:
- Define key concepts in artificial intelligence, 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.
Do you want us to tailor this training for your organisation? Visit our Tailored Training page for more information.
HPass badge
Upon successful 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.
In case of any complaints, please go to redr.stoplinereport.com
RedR Australia 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 Australia is committed to try and make reasonable adjustments to support your needs, please email [email protected] at any stage of the booking process to talk directly to RedR Australia.
Course fees
Full rate: AUD $500.00
*Please email [email protected] for information about concessions.
Course fees are in Australian dollars and can be paid in full via credit card through our secure payment facility. Organisations are able to request to receive an invoice.
You will receive instructions on how to join the course after registration.
Course structure
Four online sessions on Zoom.
This course is a blended learning program, comprising:
- Four highly interactive modules, each an online facilitated session of two hours
- Up to one hour of asynchronous solo learning (homework/reading) before each taught module.
Total participant time commitment required: 12 hours.
Participants will need to be present for all the online sessions and are also expected to complete approximately one hour of homework/reading before each taught module.
Course timing
This course is running in both UK and Australian timezones, for your convenience.
The four facilitated sessions in the Australian timezone will be held on consecutive Wednesdays 8-10am (AEDT), starting on 8 October 2025. The course will end 29 October 2025. You can register for the Australian course here.
The four facilitated sessions in the UK timezone will be held on consecutive Tuesdays 2-4pm (BST), starting on 16 September 2025. The course will end 7 October 2025. You can register for the UK course here.
