AI Bias Is Woven by Human Choices, Not Just Code
AI bias arises not only from algorithms but from the human decisions shaping data, design, and deployment. Studies show AI systems like GPT-4 and Copilot favored male, younger, and lighter-skinned candidates, reflecting how language, imagery, and institutional data influence outputs. To prevent harm, we need an inclusive AI ecosystem with diverse data, cross-disciplinary understanding, participation from affected groups, and stronger governance that centers human rights—beyond purely technical fixes.