Introduction Approach - MONITORING, EVALUATION AND LEARNING TOOL

The Monitoring tool is designed to help (a) systematically follow up and collect information on the application of the checklist in the design, data collection, analysis and dissemination of data, and (b) to collect information on how the application of gender and Intersectionality issues in AI algorithms influence the outcome of the research work. [...] The following points are recommended when using this Tool at the different stages of the research process: During the design phase, make sure that the questions raised on the checklist are adequately addressed before the finalization and implementation of the data collection tool. [...] Representativeness of the data Key indicators to consider: The extent to which gender and intersectionality related issues are considered in the AI models and algorithms. [...] The extent to which potential limitations were identified and explored (for example, the extent to which the limitations of incomplete data were explored, recognizing that all datasets are inherently biased.) great extent small extent not at all Please provide concrete example(s) that leads to make the choice. [...] The extent to which the data project reduces gender and intersectionality data gaps great extent small extent not at all Please provide concrete example(s) that leads to make the choice.