2025-05-22 08:50:27
AI for Humanitarians
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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.

Module aim

To provide participants with the foundational knowledge and ethical framework needed to decide whether or not to integrate AI in their work in the humanitarian sector.

Module Objectives

By the end of the session 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.

⏱️ Total time commitment: 12 hours

  • 4 x 2-hour live Zoom sessions
  • 1 hour of reading/homework before each session

Spaces are limited to ensure an interactive learning experience.

? Course dates & cost:

UTC+10 timezone:

Wednesdays, 08:00 – 10:00 AEST- Melbourne/ Sydney/ Canberra
8 October – 29 October 2025

How to Apply:

Wednesdays, 08:00 – 10:00 AEST- Melbourne/ Sydney/ Canberra
8 October – 29 October 2025

Register here: https://events.humanitix.com/ai-for-humanitarians

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AI for Humanitarians
RedR Australia
Training
null
Closing Date
2025-10-29 08:50:27
Experience
Not required
Type
Training/Workshop