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| <H1> Welcome to our participatory engagement platform for Advancing Data Justice Research and Practice </H1> |
| <H2> Advancing Data Justice Research and Practice is a collaboration between the Global Partnership on AI (GPAI), The Alan Turing Institute, and participants and communities across the globe. Understanding data justice and expanding the existing narrative to include voices that have not always been listened to or prioritised is our primary aim. We hope that through this platform, we enable participants to give their perspectives on data justice through various forms of participation. We are approaching this research through a co-design approach, and we greatly value your input. Co-design is a specific instance of co-creation practice that allows users to become part of the design team as ‘experts of their experience’ (Sanders and Stappers, 2008). It represents a shift away from design as the task of individual experts towards using the collective creativity of a team with members from different backgrounds and interests (Steen, 2013). The objective of this project is to fill a gap in data justice research and practice and provide resources that help policymakers, practitioners, and impacted communities gain a broader understanding of data governance. This includes considerations of equity and data justice informed by affected communities, one which encompasses questions of access to, and visibility and representation in, data used in the development of AI/ML systems. Your comments and feedback matter. The project aims to provide (a) an assessment of the current state of research in this area and the identification of gaps in order to create a forward looking research agenda and (b) a preliminary guide for three target audiences—policymakers, developers, and communities affected by AI/ML systems—consisting of practical questions to consider in their practice, use, and experience of AI/ML systems, specifically in consideration of realising the 2030 Sustainable Development Goals. We will engage individuals and civil society organisations in the development of each project deliverable. The findings from decidim will be integrated into the final literature review and preliminary guides.Our first phase of participatory engagement took place in 2021 and consisted of a Survey that allowed individual participants to share their input on topics related to data justice, as well as a second page entitled Data Justice Sources which enabled participants to give feedback on the themes of our integrated literature review by leaving comments and/or endorsements on the different themes. The feedback from both the Survey and the Data Justice Sources helped to direct us to other sources and/or themes in data justice literature and contributed to our initial research outputs consisting of an Integrated Literature Review, an Annotated Bibliography and Table of Organisations, and a Data Justice Repository of Case Studies. Our second phase of participatory engagement is now underway. We are requesting feedback through a Consultation Survey on our three preliminary guides for policymakers, developers, and impacted communities, as well as through General Feedback on the Data Justice in Practice Guides, where you can leave general points of commentary and feedback on the guides.We wish to create a safe environment on this platform. All participants are expected to have read the informed consent form and code of conduct, as well as agreed to both, before participating on this platform. The Alan Turing Institute is committed to making its engagements productive and enjoyable for everyone, regardless of gender, sexual orientation, disability, physical appearance, race, nationality or belief. We will not tolerate harassment in any form. Our code of conduct can be found here: bit.ly/3931lAo. For more detailed information on our aims, project teams, and advisory board please see our project website here. </H2> |
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Advancing Data Justice Research and Practice
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