2 citations · 3 across the 13 of their papers we have counts for
13 papers
AMINA: The Inclusive and Accountable AI for Marginalized Immigrant Nonprofit Assistance
Maryam Mokhberi, Dipto Das, Syed Ishtiaque Ahmed
Immigrant-led nonprofit groups, particularly those operating in politically sensitive contexts, face exclusion from formal registries and digital platforms. This paper reports a th…
Generative AI Alignment with Hinduism's Theological Plurality and Sacred Representation
Dipto Das, Arpita Kundu, Nusrat Jahan Mim +2
Generative AI systems are increasingly used to answer personal questions and mediate everyday practices, including religion. However, existing discussions around AI alignment and e…
Studying People to Study AI: Expert Perspectives on the Epistemic Fit and Barriers of Human Research in AI Safety & Ethics
Jessica Y. Bo, Paula Akemi Aoyagui, Shalaleh Rismani +3
Safety risks of AI are becoming increasingly evident in human interactions with AI technologies. The prominent approaches to evaluating these risks favor technical methods, such as…
Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities
Dipto Das, Achhiya Sultana, Ankit Singh Chauhan +5
Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation…
"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System
Dipto Das, Matthew Tamura, Syed Ishtiaque Ahmed +1
This paper examines how algorithmic accountability in Canada's visa system is articulated institutionally and experienced by applicants across borders. We analyzed Immigration, Ref…
Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement
Ramaravind Kommiya Mothilal, Terry Jingchen Zhang, Raiyan Ahmed +3
Evaluations of social bias in LLMs largely focus on whether models generate or imply biased content. However, as LLMs are increasingly used as judges of bias, they may exhibit soci…