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Artificial Intelligence (AI) can have transformative and impactful applications in the humanitarian sector. This collection contains guidelines, tools, reports, and other sources from various...
This briefing seeks to explore the potential risks and challenges of integrating AI into inclusive DRR. We will closely examine AI's impact on the participation, representation, and decision-...
This paper is aimed at humanitarian practitioners and leaders who would like to gain a general knowledge about Generative AI or would like to gain insight on trending strategies for mainstreaming...
The topic of localization has been well researched amongst academic scholars and practitioners in the humanitarian response field, but most of this research has focused on funding mechanisms...
This document can also be found on the Official website of the Inter-Agency Standing Committee (IASC) at: https://interagencystandingcommittee....
This is a framework for applying data science methods for humanitarian outcomes. It aims to provide a set of ethical and practical guidelines for humanitarian data collectors, users, and...
The analysis in this paper provides a conceptual framework for the efforts of our partnership to operationalise participatory AI approaches by designing, developing and testing collective crisis...
This Handbook seeks to raise awareness and assist Humanitarian Organizations in ensuring that they comply with Personal Data protection standards in carrying out humanitarian activities, by...
Data-driven artificial intelligence (AI) technologies are progressively transforming the humanitarian field, but these technologies bring about significant risks for the protection of vulnerable...
This practical guide has been designed for development practitioners who may not be trained technologists but are involved with or responsible for implementing projects that might have a technical...