"The Social Science Research Network" by DALL-E

Top 20 papers using or citing NamSor in SSRN

Top 20 papers in The Social Science Research Network (SSRN) using or citing NamSor name classification software. SSRN is a high impact journal (top 14% of journals). Some papers used NamSor to infer the gender of a personal name, some other papers to supplement subject data with race / ethnicity, or cultural heritage and ethnic origin.

Le concours externe des IRA : une réussite différenciée selon l’âge, le sexe, le niveau de diplôme et l’origine supposée des candidats 8 NOVEMBRE 2022 AUTRES PUBLICATIONS ÉMILIE ARNOULT PIERRE VILLEDIEU MARIE PREVOT (DGAFP)

New study on discrimination in French public sector

As France doesn’t collect ethnic statistics, organizations in the public and private sector need to work around the lack of data to analyze potential discriminations.

DARES, the directorate of the Ministry of Labour, Employment and Integration which produces analyses, studies and statistics on the themes of work, employment, vocational training and social dialogue has used NamSor to prepare a study on competitive exams in the public sector.

A portrait of Mariam KABORE #thisnamedpersondoesnotexist #DALLE

This Mariam KABORE does not exist

Two weeks ago, we generated several portraits using DALL-E of hypothetical Fatimata SWADOGO, a Bukinabé name shared by hundreds of people in Burkina Faso, mostly in the Centre-Nord, Nord regions of the country. Today, we present some new portraits generated from personal names with the tag #thisnamedpersondoesnotexist – and we feature a “classic fail” of AI software.

A portrait of FATIMATA SAWADOGO #thisnamedpersondoesnotexist #DALLE

This Fatimata SAWADOGO does not exist

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.

A crowd in Burkina Faso (generated by DALL-E)

Common names in Burkina Faso, West-Africa

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.

Illustration generated on DALL-E with caption : "A woman surgeon and a man surgeon operating together a complex surgery on a patient"

How gender diverse is Global Surgery ?

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.

Minority Businesses Matter: Europe

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.