Inferring The World's Gender and Ethnic Diversity using Personal Names
We’ve used DALL-E text-to-image AI to generate portraits, based on names shared by a large number of people. This is our second blog post in our series with tag #thisnamedpersondoesnotexist, exploring how text-to-image AIs interpret personal names. We believe this project can illustrate the complexity of personal names interpretation, at the crossroads of ethnography, sociology, sociolinguistics, geography, history and, more recently machine learning.
Burkina Faso is a multi-cultural and diverse country with a rich history. In this article, we would like to explorer how personal names can be interpreted to reflect regional, ethnic appartenance within the country. Then we would like to illustrate how the use of a personal name can affect a black-box Artificial Intelligence – such as OpenAI’s DALL-E. This is a first article in our series of blog posts with tag #thisnamedpersondoesnotexist.
DebunkEU.org analysts Aleksandra Michałowska-Kubś and Jakub Kubś conducted an analysis of social media posts related to sanctions imposed on the transit of goods to Kaliningrad. They used NamSor machine learning classification to assign a likely country of origin for the social account names (real or fake).
Researchers looked at how managers communicate with financial analysts during earnings conference calls, specifically focusing on the managers’ use of
A paper just published in the British Journal of Surgery (Oxford) sourced innovative data from Dimensions AI, a large linked scientific publications dataset, and NamSor, our name gender classification tool, to explore the current state of gender diversity in global surgery – based on the top 1000 most published researchers.
What’s in a name? Artificial intelligence was used to classify the personal names of entrepreneurs and beneficial owners of companies in eight European countries and derive unique insights into the Contribution and Challenges of Ethnic Minority Businesses in Europe.
For International Women’s Day, one blog post and one large study by European Commission illustrate how NamSor can be used to produced an analysis of the gender gap in a particular field, using open databases.
New research used NamSor Gender API to allocate likely gender to authors in The Lancet Global Health scientific journal. Findings
根据中文名字判断性别，根据姓名的汉语拼音找到相似的中文名字，最大可能的用中文姓名识别身份和了解你的客户
NamSor API to classify personal names by gender, country of origin, ‘race’ or ethnicity – is cited in Havard Business
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