A country can use its diaspora, or the group of people who have emigrated from the country and settled in other parts of the world, to attract foreign direct investment (FDI) by leveraging their connections, resources, and knowledge. Diaspora mapping tools like NamSor Origin can help to better target diasporas for investment promotion and growing remittances by providing detailed information on the demographics and characteristics of a country’s diaspora population.
The Cour de Cassation is the highest court of law in France. A judgment of the Court of Cassation of December 14, 2022 recognizes patronymic analysis – statistics on the ethno-cultural origin of names – as ex post proof of discrimination in hiring.
ChatGPT is impressive … it works like magic. But how robust are its answers, compared to recent academic results? ChatGPT can write about the Neo-Assyrian period, but what if a major archeological discovery were made that would change everything we know about this period. How long would it take for ChatGPT to adjust its knowledge?
We’ve prompted ChatGPT with some of the research questions of the paper “Editing a Woman’s Voice” (2022, Anna M. Costello, Ekaterina Fedorova, Zhijing Jin, and Rada Mihalcea).
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.
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.
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.
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