A look at AI filters, bias, exploitation and what Africans can do about it By Rebecca Nanono, Contributor Introduction Artificial intelligence systems ,from generative text to face filters on apps , are only as smart as the data they are trained on. That means the billions of images, videos, recordings, messages, and internet activity that exist online influence how AI understands the world . And increasingly, African digital content , especially from young, creative users is being sucked into global AI models . This is not just a technical issue but a digital rights and power issue . In this blog, we explore the following. How African data fuels AI Why African women’s images and voices often appear in AI systems The risks of this dynamic What communities and policymakers can do The Data Behind the AI Curtain Modern AI systems, like those powering TikTok’s face filters or global large language models (LLMs), rely on large datasets drawn fr...
Shetechtive Uganda blog is about issues at the intersection of cyberspace , human rights and global security