22 citations · 38 across the 10 of their papers we have counts for
12 papers
A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories
Dipto Das, Shion Guha
Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different repr…
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…
The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation
Erina Seh-Young Moon, Matthew Tamura, Shion Guha
Algorithmic systems increasingly rank individuals for access to scarce public resources, from child welfare interventions to cancer treatment referrals. The prevailing fairness fra…
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…
The Promises and Perils of using LLMs for Effective Public Services
Erina Seh-Young Moon, Matthew Tamura, Angelina Zhai +5
Governments are the primary providers of essential public services and are responsible for delivering them effectively. In high-stakes decision-making domains such as child welfare…
How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language
Dipto Das, Shion Guha, Bryan Semaan
Sociotechnical systems, such as language technologies, frequently exhibit identity-based biases. These biases exacerbate the experiences of historically marginalized communities an…
Emerging Practices in Participatory AI Design in Public Sector Innovation
Devansh Saxena, Zoe Kahn, Erina Seh-Young Moon +9
Local and federal agencies are rapidly adopting AI systems to augment or automate critical decisions, efficiently use resources, and improve public service delivery. AI systems are…
The Datafication of Care in Public Homelessness Services
Erina Seh-Young Moon, Devansh Saxena, Dipto Das +1
Homelessness systems in North America adopt coordinated data-driven approaches to efficiently match support services to clients based on their assessed needs and available resource…
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
MD Romael Haque, Devansh Saxena, Katy Weathington +2
Research into recidivism risk prediction in the criminal legal system has garnered significant attention from HCI, critical algorithm studies, and the emerging field of human-AI de…
Beyond Predictive Algorithms in Child Welfare
Erina Seh-Young Moon, Devansh Saxena, Tegan Maharaj +1
Caseworkers in the child welfare (CW) sector use predictive decision-making algorithms built on risk assessment (RA) data to guide and support CW decisions. Researchers have highli…
Charting the COVID Long Haul Experience -- A Longitudinal Exploration of Symptoms, Activity, and Clinical Adherence
Jessica Pater, Shaan Chopra, Juliette Zaccour +5
COVID Long Haul (CLH) is an emerging chronic illness with varied patient experiences. Our understanding of CLH is often limited to data from electronic health records (EHRs), such…