In north central Nigeria’s Muslim-majority state of Kwara, where religious traditions shape daily life, a group of girls are challenging cultural norms by playing soccer. They’ve embraced the game’s team spirit, competitive thrill, plus the highs and lows of winning and losing, all whilst trying to ignore the disapproval of those who consider it unsuitable for women who choose to dress modestly. As Maryam Muhammed laces up her boots and heads to soccer training at a local school in Ilorin, she feels the sweltering heat — made worse by her hijab and leggings — as well as the scorn from some in the local community. Muhammed, 17, regularly hears taunts as she walks to her training sessions with the Model Queens Football Academy. “They tell me I won’t achieve anything. But I believe I will achieve something big,” she said. Despite the discomfort, it is important to her to cover up when she plays rather than wear shorts and a t-shirt. “Sometimes it feels like I want to open the hijab, but I must not expose my hair...
For a generative artificial intelligence system to learn how to write an autopsy report, human workers must sort and annotate thousands of crime scene images. The precarious work of training AI, which generally pays just a few dollars, has sparked a movement for better wages and conditions stretching from Kenya to Colombia. “You have to spend your whole day looking at dead bodies and crime scenes… Mental health support was not provided,” Kenyan national Ephantus Kanyugi told AFP. Labellers “need to spend time with these images, zoom into the wounds of dead people” to outline them so they can be fed into the AI, the 30-year-old added. Kanyugi, who has worked on image labelling since 2018, is the vice-president of the Data Labelers Association (DLA), an 800-strong labour group based in Nairobi. The DLA plans to unveil a code of conduct this month aimed at major labelling platforms, calling for improved conditions for workers. Kenya has no law regulating data-annotation work — like many countries around the worl...