f<a+i>r brings together researchers, technologists, and practitioners whose work addresses gender, racial, and intersectional bias in artificial intelligence and machine learning systems. The network commissions and supports research, convenes its members, and publishes the results in the open.
The distinguishing feature is that this research does not stop at critique. Network papers set out problems that can be built against — which is why so many of them became prototypes.
The network was established under the A+ Alliance and co-led with Instituto Tecnológico de Costa Rica (TEC) from 2021 to 2024, with support from Canada’s International Development Research Centre. It produced what is very likely the largest documented body of Majority World feminist AI research and implementation in existence.
Network papers span economic inclusion, health access, labour, gender-based violence, civic participation, and data governance, across Latin America, Africa, the Middle East, and Asia.
The A+ Global Directory maps researchers, technologists, and practitioners working on gender and racial bias in AI worldwide — women, men, and non-binary professionals across disciplines and regions.
The methods and evidence base developed through f<a+i>r now underpin the Gender & AI Innovation Collective, which takes the same research-first approach and adds funded prototyping and field piloting.