Ece Gumusel

• Senior Privacy Analyst, University of Illinois Urbana-Champaign June 2023 – August 2025
• Associate Instructor, Indiana University-Bloomington August 2021 – May 2025
• CSH Privacy Analyst & Engineer Graduate Research Intern, The MITRE Corporation June 2022 – June 2023
• Privacy Analyst & Chief Legal Editor" Enterprivacy Consulting Group March 2020 – May 2021

Ece's research broadly explores the intersection of usable privacy and security in human-computer interaction, with a particular focus on conversational AI and regulatory compliance. She employs mixed-method approaches to address complex challenges in this domain.

• SLIS Travel Award — $750, Indiana University-Bloomington School of Informatics, Computing, and Engineering, June & November 2024
• FACET Honorarium Award — $1,000, Indiana University-Bloomington, December 2023
• James D. Fielding Student Advocacy Award — $2,018, Indiana University-Bloomington, August 2023
• Luddy Outstanding Service Award, School of Informatics, Computing, and Engineering, Indiana University-Bloomington, July 2023
• UROC@Luddy Research Mentorship — $1,000, School of Informatics, Computing, and Engineering, Indiana University-Bloomington, January 2023 & September 2022
• SLIS Doctoral Fellowship — $400, School of Informatics, Computing, and Engineering, Indiana University-Bloomington
• Grace Hopper Celebration Student Award School of Informatics, Computing, and Engineering, Indiana University-Bloomington
• Velocity Conference Student Award Kelley School of Business, Indiana University-Bloomington, September 2022
• Associate Instructor Award, School of Informatics, Computing, and Engineering, Indiana University-Bloomington, August 2021
• 2nd Team — LL.M. Negotiation Competition, University of Illinois College of Law, October 2018
• Tuition Merit Scholarship, University of Illinois College of Law, August 2018

• Fall 2025 - Research Design Info Sciences - IS204C

Gumusel, E. (2025). Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions. Societal & User-Centered Privacy in AI (SUPA) at USENIX Symposium on Usable Privacy and Security (SOUPS) 2025, August 10–12, 2025, Seattle, WA. Available at https://arxiv.org/pdf/2506.10042

Yener, R., Chen, G.-H., Gumusel, E., & Bashir, M. (2025). Can I Trust This Chatbot? Assessing User Privacy in AI-Healthcare Chatbot Applications. 88th Annual Meeting of the Association for Information Science and Technology (ASIS&T). November 14-18, 2025, Washington, DC.

Zhou, K., Choudhry, A., Gumusel, E., & Sanfilippo, M. (2025). "Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models. Information Research an International Electronic Journal, 30(iConf), 508-522. https://doi.org/10.47989/ir30iConf47290

Gumusel, E. (2025). Exploring Adoption of Privacy Enhancing Technologies among LGBTQ+ LIS Students in the US: Motivations and Challenges. Journal of Education for Library and Information Science. e20230090.

Gumusel, E. (2025). A literature review of user privacy concerns in conversational chatbots: A social informatics approach. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24898

Gumusel, E.* , Xiao, Y.*, Qin, Y., Qin, J., & Liao, X. (2024). Understanding Legal Professionals’ Practices and Expectations in Data Breach Incident Reporting. 31st ACM Conference on Computer and Communications Security (CCS). October 14-18, 2024, Salt Lake City, USA. https://doi.org/10.1145/3658644.3670371

Wu, Y., Wang, C., Gumusel, E., & Liu, X. (2024). Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning. Findings of the Association for Computational Linguistics ACL 2024, 15542–15555, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.918

Gumusel, E. (2024). Are chatbots safe? A look at user privacy concerns. Information Matters, 4(10). [SSRN’s Top Ten download list (60 days) for: Educational Technology, Media & Library Science eJournal] https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4995850

Zhou, K., Killhoffer, Z., Sanfilippo, M., Underwood, T., Gumusel, E., et al. (2024). Ethics, Governance, and User Mental Models for Large Language Models in Computing Education. XRDS: Crossroads, The ACM Magazine for Students 31(1), 46–51. https://doi.org/10.1145/3688089

Gumusel, E., Malic, V. Q., Donaldson, D. R., Ashley, K. D., & Liu, X. (2022). An Annotation Schema for the Detection of Social Bias in Legal Text Corpora. iConference 2022 Proceedings (pp. 185-194). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-96957-8_17

Gumusel, E. (2022). Preliminary Analysis of Data Subject Right Effectiveness and blockages in industry. 

Rosenbaum, H., Gumusel, E., Sanfilippo, M., Sweeney, M., Sawyer, S., & Zhou, K. (2024). Exploring Some Impacts of Advances in Artificial Intelligence: A Social Informatics Approach. Proceedings of 87th Annual Meeting of the Association for Information Science and Technology