activity
20202026
most citedThe Principles of Data-Centric AI (DCAI)

102 citations · 223 across the 17 of their papers we have counts for

collaborators
Showing cs.HCShow all

12 papers · 1 filter

cs.HC2025

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…

cs.HC2025★ 1 cited

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…

cs.HC2024★ 10 cited

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…

cs.HC2024

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…

cs.HC2023

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…

cs.HC2023★ 2 cited

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…

cs.HC2023★ 31 cited

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…

cs.HC2022★ 33 cited

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,…

cs.HC2022★ 21 cited

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…

cs.HC2021★ 2 cited

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…

cs.HC2021★ 1 cited

"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…

cs.HC2020★ 17 cited

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…