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…
Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures
Dipto Das, Christelle Tessono, Syed Ishtiaque Ahmed +1
In November 2025, the Government of Canada operationalized its commitment to transparency by releasing its first Federal AI Register. In this paper, we argue that such registers ar…
How do the Global South Diasporas Mobilize for Transnational Political Change?
Dipto Das, Afrin Prio, Pritu Saha +2
This paper examines how non-resident Bangladeshis mobilized during the 2024 quota-reform turned pro-democracy movement, leveraging social platforms and remittance flows to challeng…
Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCI
Ramaravind Kommiya Mothilal, Sally Zhang, Syed Ishtiaque Ahmed +1
Reasoning is a distinctive human-like characteristic attributed to LLMs in HCI due to their ability to simulate various human-level tasks. However, this work argues that the reason…
BTPD: A Multilingual Hand-curated Dataset of Bengali Transnational Political Discourse Across Online Communities
Dipto Das, Syed Ishtiaque Ahmed, Shion Guha
Understanding political discourse in online spaces is crucial for analyzing public opinion and ideological polarization. While social computing and computational linguistics have e…
Argument-Based Consistency in Toxicity Explanations of LLMs
Ramaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed +1
The discourse around toxicity and LLMs in NLP largely revolves around detection tasks. This work shifts the focus to evaluating LLMs' reasoning about toxicity - from their explanat…
Talking About the Assumption in the Room
Ramaravind Kommiya Mothilal, Faisal M. Lalani, Syed Ishtiaque Ahmed +2
The reference to assumptions in how practitioners use or interact with machine learning (ML) systems is ubiquitous in HCI and responsible ML discourse. However, what remains unclea…
Towards a Non-Ideal Methodological Framework for Responsible ML
Ramaravind Kommiya Mothilal, Shion Guha, Syed Ishtiaque Ahmed
Though ML practitioners increasingly employ various Responsible ML (RML) strategies, their methodological approach in practice is still unclear. In particular, the constraints, ass…