In this video, we delve into the complex issue of AI biases and the challenges they pose in creating a truly beneficial AI system. Join us as we explore the diverse perspectives surrounding the selection of biases in AI models, which often results in different representative AIs even within the same country. We discuss how individuals seek to have their own biases reflected in the AI models they use, or criticize them for perceived biases, highlighting the irony in contrasting approaches between countries like China and other nations. Moreover, we shed light on the elusive quest for objective determination of what's best for the majority, emphasizing the absence of a universally accepted method.
