Previously, I worked as a Research Intern with the FATE group at Microsoft Research, as a Fellow at Weizenbaum Institute, and as a Pre-Doctoral Researcher with the Google Research India and the Technology, AI, Society and Culture (TASC) team, focusing on mixed-methods research interrogating the practices of dataset production.
Before joining Google Research, I worked as a Research Associate at IIIT Delhi with Pushpendra Singh. We developed a framework containing actionable guidelines for designing mobile applications for low-literacy users. I graduated with a B.Tech in Computer Science from Guru Gobind Singh Indraprastha University in Delhi in 2019.
I am passionate about teaching, and spent a lot of time tutoring science and math to middle school students as a volunteer with the Aashmaan Foundation. I have also worked with UpGrad as an instructor of Data Science using Python for university students.
Publications
Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline.
, Stephanie Ballard, Alex Kessler, and Jennifer Wortman Vaughan
FAccT'25 | ACM Conference on Fairness, Accountability, and Transparency
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Simulacrum of Stories: Examining Large Language Models as Qualitative Research Participants
, William Agnew, Motahhare Eslami, Hoda Heidari, and Sarah E. Fox
CHI'25 | ACM CHI Conference on Human Factors in Computing Systems
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The Role of Expertise in Effectively Moderating Harmful Social Media Content
Nuredin Ali Abdelkadir, Tianling Yang, , Meron Estefanos, Fasica Berhane Gebrekidan, Zecharias Zelalem, Messai Ali, Rishan Berhe, Dylan Baker, Zeerak Talat, Milagros Miceli, Alex Hanna, Timnit Gebru
CHI'25 | ACM CHI Conference on Human Factors in Computing Systems
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"I'm Categorizing LLM as a Productivity Tool": Examining Ethics of LLM Use in HCI Research Practices
, Ruiyi Wang*, Toby Jia-Jun Li, Tianshi Li, and Hong Shen
CSCW'25 | ACM Conference on Computer-Supported Cooperative Work
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Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations
Michael Madaio, , Rida Qadri, Ding Wang, Andrew Zalvidar, Remi Denton, Lauren Wilcox
FAccT'24 | ACM Conference on Fairness, Accountability, and Transparency
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A hunt for the Snark: Annotator Diversity in Data Practices
, Alex Taylor, Ding Wang
CHI'23 | ACM CHI Conference on Human Factors in Computing Systems
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Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI Challenges
Qiaosi Wang, Michael Madaio, Shaun Kane, , Michael Terry, Lauren Wilcox
CHI'23 | ACM CHI Conference on Human Factors in Computing Systems
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"Because AI is 100% right and safe": User Attitudes and Sources of AI Authority in India
, Oliver Siy, Gabe Clapper, Azhagu SP Meena, Nithya Sambasivan
CHI'22 | ACM CHI Conference on Human Factors in Computing Systems
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Inheriting Discrimination: Datafication Encounters of Marginalized Workers
Azhagu Meena S P, Rajesh Veeraraghavan, , Vinodkumar Prabhakaran, Vivek Srinivasan, Nithya Sambasivan
ICTD'22 | International Conference on Information and Communication Technologies and Development
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“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
Nithya Sambasivan, , Hannah Highfill, Diana Akrong, Praveen Paritosh, Lora Aroyo
CHI'21 | ACM CHI Conference on Human Factors in Computing Systems
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blog
Actionable UI Design Guidelines for Smartphone Applications Inclusive of Low-Literate Users
Ayushi Srivastava*, , Anupriya Tuli*, Pushpendra Singh
(* = Equal Contribution)
CSCW'21 | ACM Conference On Computer-Supported Cooperative Work And Social Computing
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Multi Object Tracking with UAVs using Deep SORT and YOLOv3 RetinaNet Detection Framework
, Dharmendar Saini, Sachin Goyal, Narina Thakur, Rachna Jain, Preeti Nagrath
ACM AIMS'20 | ACM Workshop on Autonomous and Intelligent Mobile Systems
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