Who's really responsible when AI systems fail?

The OpenAI-Hugging Face incident exposed a gap in AI governance: when autonomous systems fail, companies blame the technology rather than examine the human choices behind it—training data selection, safety guardrails, deployment thresholds. This matters because it shields founders and investors from scrutiny while researchers bear reputational risk. The result is superficial safety improvements (better PR) instead of architectural ones (better systems). The conversation needs to move from "can we trust this AI?" to "can we trust the people who decided when and how to deploy it?"