Part 6/9:
This bias can lead to gaps in knowledge about diverse subjects or cultures. For instance, when discussing countries and their histories, non-English sources may be underrepresented, particularly from nations where local languages prevail. English typically dominates the output of many AI models, with Spanish and Chinese following in influence. This linguistic imbalance raises questions about the fairness and representativeness of AI outputs globally.