79 citations · 189 across the 31 of their papers we have counts for
6 papers · 1 filter
From Perceived Effectiveness to Measured Impact: Identity-Aware Evaluation of Automated Counter-Stereotypes
Svetlana Kiritchenko, Anna Kerkhof, Isar Nejadgholi +1
We investigate the effect of automatically generated counter-stereotypes on gender bias held by users of various demographics on social media. Building on recent NLP advancements a…
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui +2
Eradicating poverty is the first goal in the United Nations Sustainable Development Goals. However, aporophobia -- the societal bias against people living in poverty -- constitutes…
Human-Centered AI Applications for Canada's Immigration Settlement Sector
Isar Nejadgholi, Maryam Molamohammadi, Kimiya Missaghi +1
While AI has been frequently applied in the context of immigration, most of these applications focus on selection and screening, which primarily serve to empower states and authori…
Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada
Isar Nejadgholi, Maryam Molamohammadi, Samir Bakhtawar
The non-profit settlement sector in Canada supports newcomers in achieving successful integration. This sector faces increasing operational pressures amidst rising immigration targ…
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
Kathleen C. Fraser, Svetlana Kiritchenko, Isar Nejadgholi
As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate proper…
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
Kathleen C. Fraser, Isar Nejadgholi, Svetlana Kiritchenko
Stereotypical language expresses widely-held beliefs about different social categories. Many stereotypes are overtly negative, while others may appear positive on the surface, but…