102 citations · 223 across the 17 of their papers we have counts for
17 papers
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…
A Human-Centered Review of Algorithms in Homelessness Research
Erina Seh-Young Moon, Shion Guha
Homelessness is a humanitarian challenge affecting an estimated 1.6 billion people worldwide. In the face of rising homeless populations in developed nations and a strain on social…
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…
Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making
Devansh Saxena, Shion Guha
Algorithms in public services such as child welfare, criminal justice, and education are increasingly being used to make high-stakes decisions about human lives. Drawing upon findi…
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena, Erina Seh-Young Moon, Aryan Chaurasia +2
Risk assessment algorithms are being adopted by public sector agencies to make high-stakes decisions about human lives. Algorithms model "risk" based on individual client character…
A Human-Centered Review of Algorithms in Decision-Making in Higher Education
Kelly McConvey, Shion Guha, Anastasia Kuzminykh
The use of algorithms for decision-making in higher education is steadily growing, promising cost-savings to institutions and personalized service for students but also raising eth…
The Principles of Data-Centric AI (DCAI)
Mohammad Hossein Jarrahi, Ali Memariani, Shion Guha
Data is a crucial infrastructure to how artificial intelligence (AI) systems learn. However, these systems to date have been largely model-centric, putting a premium on the model a…
Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis
Devansh Saxena, Erina Seh-Young Moon, Dahlia Shehata +1
Caseworkers are trained to write detailed narratives about families in Child-Welfare (CW) which informs collaborative high-stakes decision-making. Unlike other administrative data,…
How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child-Welfare
Devansh Saxena, Charlie Repaci, Melanie Sage +1
Child welfare (CW) agencies use risk assessment tools as a means to achieve evidence-based, consistent, and unbiased decision-making. These risk assessments act as data collection…
A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare
Devansh Saxena, Karla Badillo-Urquiola, Pamela Wisniewski +1
Algorithms have permeated throughout civil government and society, where they are being used to make high-stakes decisions about human lives. In this paper, we first develop a cohe…
"Facebook Promotes More Harassment": Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh
Fayika Farhat Nova, Michael Ann Devito, Pratyasha Saha +4
Social interaction across multiple online platforms is a challenge for gender and sexual minorities (GSM) due to the stigmatization they face, which increases the complexity of the…
Methods for Generating Typologies of Non/use
Devansh Saxena, Patrick Skeba, Shion Guha +1
Prior studies of technology non-use demonstrate the need for approaches that go beyond a simple binary distinction between users and non-users. This paper proposes a set of two dif…
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
Devansh Saxena, Karla Badillo-Urquiola, Pamela J. Wisniewski +1
The U.S. Child Welfare System (CWS) is charged with improving outcomes for foster youth; yet, they are overburdened and underfunded. To overcome this limitation, several states hav…