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Care and Liberation in Creating a Student-Led Public Interest Technology Clinic
Shreya Chowdhary, Sam Daitzman, Ruby Eisenbud, Emma Pan, and Erhardt Graeff
IEEE ISTAS, 2021
Permalink: https://doi.org/10.1109/ISTAS50296.2020.9462188
Using autoethnography, we reflect on our effort to create the clinic and find that we prioritized emotions and relationships, embraced slowness and deliberation, and claimed student ownership.
Care and Liberation in Creating a Student-Led Public Interest Technology Clinic
Shreya Chowdhary, Sam Daitaman, Ruby Eisenbud, Emma Pan, and Erhardt Graeff
IEEE ISTAS Magazine, 2021
Permalink: https://doi.org/10.1109/MTS.2021.3101915
This is a featured magazine article detailing our autoethnographic reflections on creating a student-led public interest technology clinic.
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, and Koustuv Saha
ACM FAccT, 2023
Permalink: https://doi.org/10.1145/3593013.3594023
This paper explores challenges to consent to workplace wellbeing sensing technologies and socio-technical interventions to support meaningful consent.
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders
Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal, Vera Liao, Alexandra Olteanu, and Koustuv Saha
ACM CSCW, 2023
Permalink: https://doi.org/10.1145/3610207
This study examined multi-stakeholder perceptions of workplace wellbeing sensing technologies.
Technical Solutions to Emotion AI’s Privacy Harms: A Systematic Literature Review
Shreya Chowdhary, Alexis Shore Ingber, and Nazanin Andalibi
ACM FAccT, 2025
Permalink: https://doi.org/10.1145/3715275.3732074
This paper critically reviews the most common technical solutions to emotion AI’s numerous privacy harms.
Movement Data Science: Practices for Working in Solidarity with Social Justice Efforts
Shreya Chowdhary and Ben Green
ACM CSCW, 2026
Permalink: https://doi.org/10.1145/3816974
Drawing on movement lawyering, we propose a framework for data scientists to find productive and equitable roles in social justice efforts.
Deconstructing AI Hype: A Playbook for Resistance
Shreya Chowdhary, Justine Zhang, and Ben Green
AAAI/ACM AIES, 2026
Permalink: https://doi.org/10.1609/aies.v9i1.43175
In this paper, we offer a materialist deconstruction of AI hype, breaking down how the AI industry and aligned actors use speculative narratives about AI to build their desired political and economic conditions. Based on this analysis, we contribute a playbook of resistance tactics to counter AI hype and open up alternative trajectories for AI futures.