Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. - Maryam Molamohammadi; Afaf Taïk; Nicolas Le Roux; Golnoosh Farnadi (EAAMO, 2023)

Harms from Increasingly Agentic Algorithmic Systems. - Alan Chan; Rebecca Salganik; Alva Markelius; Chris Pang; Nitarshan Rajkumar; Dmitrii Krasheninnikov; Lauro Langosco; Zhonghao He; Yawen Duan; Micah Carroll; Michelle P. Lin; Alex Mayhew; et al. (FAccT, 2023)

Human-Centered AI Applications for Canada's Immigration Settlement Sector. - Isar Nejadgholi; Maryam Molamohammadi; Kimiya Missaghi; Samir Bakhtawar (AIES (1), 2024)

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada. - Isar Nejadgholi; Maryam Molamohammadi (CoRR, 2024)

Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions. - Pratheeksha Nair; Gabriel Lefebvre; Sophia Garrel; Maryam Molamohammadi; Reihaneh Rabbany (CoRR, 2025)