Jordan, D., Passi, S., & Vorvoreanu, M. (Forthcoming, 2025). RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology Companies. AIES 2025

Heger, A., Passi, S., Dhanorkar, S., Kahn, Z., Wang, R., & Vorvoreanu, M. (Forthcoming, 2025). Towards an Organizational Responsible AI Maturity Model. CSCW 2025.

Ehsan, U., Liao, Q. V., Passi, S., Riedl, M. O., & Daume, H. (2024). Seamful XAI: Operationalizing Seamful Design in Explainable AI in Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 119 (April 2024), 29 pages.

Ehsan, U., Passi, S., Liao, Q. V., Chan, L., Lee, I. H., Muller, M., & Riedl, M. O. (2024). The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 316, 1–32.

Tanweer, A., Aragon, C., Muller, M., Guha, S., Passi, S., Neff, G., & Kogan, M. (2022). Interrogating Human-Centered Data Science: Taking Stock of Opportunities and Limitations. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), New Orleans, USA. ACM, New York, NY. 6 pages.

Passi, S.. (2021). Making Data Work: The Human and Organizational Lifeworlds of Data Science Practices. Ph.D. Dissertation. Cornell University.

Passi, S., & Sengers, P. (2020). Making Data Science Systems Work. Big Data & Society, 7(2), 1-13.

Passi, S., & Barocas, S. (2019). Problem Formulation and Fairness. In Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT* '19). ACM, New York, NY, USA, 39-48.

Muller, M., Feinberg, M., George, T., Jackson, S., John, B., Kery, M., & Passi, S.. (2019). Human-Centered Study of Data Science Work Practices. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), Glasgow, Scotland, UK. ACM, New York, NY. 8 pages.

Passi, S., & Jackson, S. (2018). Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects. Proc. ACM Hum.-Comput. Interact., 2, CSCW, Article 136 (November 2018), 28 pages. Best Paper Award

Passi, S., & Jackson, S. (2017). Data Vision: Learning to See Through Algorithmic Abstraction. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, USA, 2436-2447. Best Paper Award

Salah, A., Wyatt, S., Passi, S., & Scharnhorst, A. (2013). Mapping EINS: An Exercise in Mapping the Network of Excellence in Internet Science. Conference Proceedings of the First International Conference on Internet Science, Brussels, 75-78.

Passi, S., Wyatt, S., et al. (2012). Overview of Online Privacy, Reputation, Trust, and Identity Mechanisms. Research Report 5.1.1 for the EU FP7 Research Project — Excellence in Internet Science (EINS).

Passi, S., Vorvoreanu, M., & Kikin-Gil, R. (2025). Overreliance Risk Identification and Mitigation Framework. Microsoft Research Technical Report, MSR-TR-2025-26

Vorvoreanu, M., Passi, S., Dhanorkar, S., Heger, A., & Walker, K. (2025). Fostering appropriate reliance on GenAI: Lessons learned from early research. Microsoft Research Technical Report, MSR-TR-2025-4

Passi, S., Dhanorkar, S., & Vorvoreanu, M. (2024). Appropriate Reliance on Generative AI. Microsoft Research Technical Report, MSR-TR-2024-7.

Vorvoreanu, M., Heger, A., Passi, S., Dhanorkar, S., Kahn, Z., & Wang, R. (2023). Responsible AI Maturity Model. Microsoft Research Technical Report, MSR-TR-2023-26.

Passi, S., & Vorvoreanu, M. (2021). Overreliance on AI. Microsoft Research Technical Report, MSR-TR-2022-12.

Passi, S., Dhanorkar, S., & Vorvoreanu, M. (Forthcoming, 2025). Addressing Overreliance on AI. In The SPRINGER Handbook of Human-Centered Artificial Intelligence.

Jackson, S., Liu, J., Singh, R., & Passi, S. (2025). Maintaining Data Infrastructures. In T. Venturini, A. Acker, J.C. Plantin, & A. Walford (eds.), The SAGE Handbook of Data and Society: An Interdisciplinary Reader in Critical Data Studies. Thousand Oaks, CA: Sage Publishing.

Passi, S. (2021). Making Data Work: The Human and Organizational Lifeworlds of Data Science Practices. Ph.D. Dissertation. Cornell University, Ithaca, New York, USA.

Passi, S. (2012). Digitality with Ressentiment: Max Scheler in Sociotechnical Societies. Research Masters Thesis (STS) Maastricht University, The Netherlands.

Joe McKendrick. We need bold minds to challenge AI, not lazy prompt writers, ZD-Net Innovation, June 27, 2024.

Katrina Ingram. Formulating Fairness: The ethics of reframing business problems for data science, Ethically Aligned AI, July 23, 2023.

Microsoft. Research Focus. New Resource: Responsible AI Maturity Model, Microsoft Research Blog, June 23, 2023.

Shraddha Goled. How Does Understanding of AI Shape Perceptions of XAI?, Analytics India Magazine, August 30, 2021.

Kyle Wiggers. Even experts are too quick to rely on AI explanations, study finds, VentureBeat, August 25, 2021.

Hecate He. The 'Who' in Explainable AI: New Study Explores the Creator-Consumer Gap, Synced: AI Technology & Industry Review, August 6, 2021.

Paul Gillin. Trust but verify; Machine learning's magic masks hidden frailties, siliconANGLE, AI Special Report, February 10, 2019.

Karen Hao. This is how AI bias really happens-and why it’s so hard to fix, MIT Technology Review 'Tech Policy/AI Ethics', February 4, 2019.

Sondra Campanelli. Ethical AI Practices Offer Chance for Finance Reforms, machineByte, March 11, 2019. (Paywalled Article—contact me to request a copy)

Louis DiPietro. To build trust in data science, work together, Cornell Chronicle, November 6, 2018.

Heger, A., Passi, S., & Vorvoreanu, M. (2022). All the tools, none of the motivation: Organizational culture and barriers to responsible AI work. Workshop 'Cultures in AI/AI in Culture' in the Conference on Nerual Information Processing Systems (NeurIPS).

Passi, S. (2019). Accounting for the Spatial and Temporal Dimensions of Data Science Processes. Paper accepted in the workshop 'Mapping the "How" of Collaborative Action' in the ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).

Passi, S. (2018). Collaboration as Participation: The Many Faces in a Corporate Data Science Project. 'The Changing Contours of "Participation" in Data-driven Algorithmic Ecosystems: Challenges, Tactics, and an Agenda' workshop in the 2018 ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).

Passi, S. (2018). The Stakes are high: But, do we know what they look like? 'Lives of Data 2.0' workshop in the SARAI Programme at the Center for the Study of Developing Societies (CSDS) in New Delhi, India.

Passi, S., & Sengers, P. (2016). From what I see, this makes sense: Seeing Meaning in Algorithmic Results. 'Algorithms at work: Empirical Diversity, Analytic Vocabularies, and Design Implications' workshop in the 19th ACM conference on Computer Supported Cooperative Work & Social Computing (CSCW).

Passi, S. (2015). The Remainder of an Unbalanced Equation: Moving from Science & Technology Studies to Information Science. 'Shifting Borderlands of Technoscience' workshop at the fifth decennial Critical Alternatives conference, Aarhus, Denmark.

Passi, S. (2013). Slide to Unlock? - Mobile Convergence and Collapsing Contexts. Excellence in InterNet Science (EINS) workshop in Lausanne, Switzerland. Best Presentation Award