124 citations · 127 across the 5 of their papers we have counts for
5 papers
How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications
Gauri Sharma, Maryam Molamohammadi
The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law…
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…
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements
Maryam Molamohammadi, Afaf Taik, Nicolas Le Roux +1
The growing utilization of machine learning (ML) in decision-making processes raises questions about its benefits to society. In this study, we identify and analyze three axes of h…
Harms from Increasingly Agentic Algorithmic Systems
Alan Chan, Rebecca Salganik, Alva Markelius +19
Research in Fairness, Accountability, Transparency, and Ethics (FATE) has established many sources and forms of algorithmic harm, in domains as diverse as health care, finance, pol…