SAN FRANCISCO – Meta Platforms Inc.’s artificial intelligence research unit said it has developed an AI model that can research and write drafts of Wikipedia-style biographical entries, in order to address a noticeable imbalance on the world’s most popular encyclopedia.
The idea is to be able to submit, in an automatic fashion, a multitude of profiles so that they can then be validated and completed by the editors of the famous online encyclopedia.
At the present, just 20 per cent of the biographies on Wikipedia in English concern women. And the low proportion of women is even more obvious in certain fields such as science and extremely glaring when it comes to women of Asian or African origin.
However, things could change. Angela Fan, a Facebook AI Research Paris, worked on a PhD project as a computer science student at the Université de Lorraine, CNRS, in France that involved developing a solution that could help remedy this imbalance, through the use of artificial intelligence.
This “intelligent” system was trained to search the internet and “automatically” write the first draft of a future article to be published on Wikipedia, in the style of the online encyclopedia. The goal is to quickly submit thousands of new, reliable and interesting biographical articles about prominent people who are not yet on the site to Wikipedia editors.
For example, this model was used to generate a short biography of Libbie Hyman, a pioneer in the field of invertebrate zoology. This text was designed on the basis of information collected in a reference article, supplemented by various information found on the web.
The AI only retained information that was considered relevant, from reliable sources. It’s envisioned that this type of text, sometimes very short, could serve as a starting point for the creation of a new Wikipedia entry, while contributors to the encyclopedia could then flesh out this biography.
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