This webinar serves to explore Stage 1 of AI Development which is fundamentally a participatory and grounded approach which is crucial for centering gender equity, given that women often carry the brunt of labor in agriculture and caregiving, yet remain underrepresented in AI design and governance.
In this Open Studio, Emma Kallina will guide you through our new stakeholder module. It focuses on the key aspects of meaningful stakeholder involvement, including who counts as a stakeholder and when.
Led by Savannah Thais, the AI & Equality human Rights it is part of our core commitment: to build AI systems that respect dignity, uphold equality, and serve everyone. In this Pub-Talk, Savannah will present the process and methodology of the benchmark.
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.
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 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.
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?
