Where Are All the Women?

Large language models (LLMs) such as ChatGPT are being increasingly used in educational and professional settings. It is important to understand and study the many biases present in such models before integrating them into existing applications and our daily lives. One of the biases I studied in my <a href="https://blog.yenniejun.com/p/world-history-through-ai" rel="noopener ugc nofollow" target="_blank">previous article</a> was regarding historical events. I probed LLMs to understand what historical knowledge they encoded in the form of major historical events. I found that they encoded a serious Western bias towards understanding major historical events. On a similar vein, in this article, I probe language models regarding their understanding of important historical figures. I asked two LLMs who the most important historical people in history were. I repeated this process 10 times for 10 different languages. Some names, like Gandhi and Jesus, appeared extremely frequently. Other names, like Marie Curie or Cleopatra, appeared less frequently. Compared to the number of male names generated by the models, there were extremely few female names. <a href="https://towardsdatascience.com/where-are-all-the-women-3c79dabfdfc2">Visit Now</a>