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A New Ethical AI Adoption Toolkit for Humanitarian Actors

A New Ethical AI Adoption Toolkit for Humanitarian Actors

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 On this special short episode of Humanitarian AI Today, guest host Brent Phillips sits down with Tigmanshu Bhatnagar, a lecturer at University College London (UCL), and Hamdan Albishi, a UCL MSc student in AI for Sustainable Development. Tigmanshu and Hamdan discuss a toolkit they are developing, designed to empower non-technical humanitarian actors to build their own ethical AI projects. They walk through the toolkit's four-phase process—Reflection, Scoping, Feasibility Assessment, and Development—which guides users from an initial idea to a simulated, ethically-sound AI project without needing deep technical expertise. Toolkit users define a problem, identify beneficiaries, and consider potential unintended harm. The tool presents existing use cases and projects in the same problem area to educate the user. The toolkit helps users assess project feasibility based on resources and regulations. It can also suggest publicly available humanitarian datasets and helps check them for completeness and bias to avoid unintended harm. The tool suggests appropriate technical solutions, generates a project with embedded ethical guardrails, and runs it in a simulated environment to validate its accuracy and impact before real-world deployment This initiative emerged from a UK Humanitarian Innovation Hub (UKHIH) and Elrha-funded project, which found that humanitarian organizations, despite their commitment, faced a steep learning curve in creating tangible AI solutions. The toolkit addresses AI adoption challenges and aims to help humanitarian actors develop responsible AI projects for users, regardless of their technical background.

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