In this webinar we look at how requirement setting should function as a bridge between vision and use: Aligning system features with cultural context, infrastructure gaps, and social expectations; Identifying constraints early on—connectivity, literacy, consent, power dynamics—and building around them and making conscious trade-offs between speed, scale, and equity.
In this session, Emma will present the AI & Equality Public Procurement research project, its methodology and findings, as well as what our findings mean for different audiences.
In partnership with CENIA we’re working on delivering our methodology in Spanish with case studies from Latin America.
This webinar will offer a deep dive into the Essential Questions of Data Discovery including a case study on the requirement for building effective TFGBV prevention datasets that include African languages.
In this webinar we dive into what inclusion and efficiency means ensuring the development or building of systems that don’t require technical expertise to interpret—ensuring that trust, oversight, and agency are accessible to all users. Whether a rural health worker, a student, or a community organizer, each person should be able to understand what a system is doing and why.
As our community keeps growing, monthly meetups are a space to stay connected, share our work, and explore the latest in AI, especially at the intersection of social justice and human rights, while welcoming broader conversations.
In this stage we examine the opportunity to reflect on how power operates in AI: Who gets to say if it works? Who can question it? Who can stop it?
We have partnered with the Chilean Centro Nacional de Inteligencia Artificial, CENIA, to co-construct a Latin American Spanish language version of the validated Toolbox, with use cases relevant to the regional experience. The partnership builds on the learnings from the workshop structure and outreach from the African Toolbox to do so.
In this final stage and webinar; we look at what true accountability means: planning for ongoing monitoring, shared governance, and the possibility of “no.” We will explore what it means for systems to be responsive—not just to data—but to dignity.
