5 papers · 1 filter
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…
"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…
Beyond Categories of Caste: Examining Caste Bias and Morality in Text-to-Image AI Models
Divyanshu Kumar Singh, Dipto Das, Deepika Rama Subramanian +3
Text-to-Image (T2I) models have shown promising utility across various domains. However, such models are also amplifying harmful societal biases in their outputs. In the context of…
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
Kelly McConvey, Dipto Das, Maya Ghai +3
Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Cen…
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…