Hayati is a mobile application developed by Men4Women in collaboration with UNFPA South Sudan. The chatbot provides young people with a platform where they can access SRH and GBV information confidentially. It was developed as an Android-based Mobile Application with integrated services and features such as Interactive Voice Response (IVR) through the National Helplines, location pinning, and analytics.
Activity Type AI Tools/SolutionsTechnical assistanceAwareness/Advocacy
The Gender Bias Overview Tool (GenBOT) project involved a partnership among UNICC, UNFPA, and Columbia University Capstone participants from 2024. Gender bias in datasets, particularly in the field of machine learning and AI, has been a long-standing issue. Despite efforts toward inclusivity and diversity, women remain underrepresented in various stages of tech development, leading to inherent biases in datasets. These biases perpetuate themselves in the development of machine learning models and algorithms, causing skewed or inaccurate outputs that reinforce existing gender disparities. To address this issue, UNICC collaborated with UNFPA and Columbia University (students and faculty) to develop GenBOT, an adaptable data-auditing solution that provides users insights on gender bias in their datasets through automated AI analytics. The tool aims to guide stakeholders in creating equitable, gender-inclusive technologies and services.
Context Matters: A key lesson learned was the importance of context in evaluating gender bias. The definition and scope of bias need to be carefully defined with stakeholders to ensure the tool's effectiveness. Thresholds and Metrics: Determining appropriate thresholds for gender bias detection was a significant challenge. The team used established research and studies to refine the metrics used in the tool, ensuring that they aligned with best practices. Stakeholder Collaboration: Continuous communication with stakeholders such as UNFPA and UNICC was crucial in refining the bias thresholds and understanding their specific needs for gender bias detection.
ECHO is an AI-powered tool that promotes citizens’ participatory planning and awareness about the SDGs through real-time guided public discussion. It uses Automatic Speech Recognition, Cognitive Computing, and Data Analytics to process large amounts of information from individuals, including minorities and vulnerable populations.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsAwareness/AdvocacyUNFPA's East and Southern Africa Regional Office's AI-based platform, iSAY, employs advanced machine learning and natural language processing to monitor and analyze public dialogues and social media trends related to adolescent sexual and reproductive health and rights (ASRHR). The platform enables UNFPA to make real-time program predictions, follow-ups, and recommendations based on credible data.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments