Research & Publications
Papers, publications, and conference presentations on AI disclosure, algorithmic evaluation, and trust.
Selected Papers
The ChatGPT Effect: Analyzing Early Adoption Patterns in Academic Settings
The rapid deployment of advanced generative AI tools has precipitated unprecedented pedagogical shifts across global academic institutions. This paper analyzes the preliminary adoption trends of ChatGPT and analogous Large Language Models (LLMs) among undergraduate and graduate populations. By leveraging quantitative survey data (n=4,520) alongside qualitative interview cohorts across five R1 universities, we isolate key vectors […]
Rated by AI: Algorithmic Evaluation in High-Stakes Environments
Investigating user trust dynamics when facing automated assessment systems. As algorithmic evaluation expands into grading, hiring, and credentialing, the entities being evaluated increasingly adjust their self-presentation for machine readers. Through two experiments (n=1,240), we examine how awareness of AI evaluation shifts perceived fairness, effort allocation, and trust in the evaluating institution, and we identify disclosure […]
Journal of Interactive Advertising
Disclosure Defaults: Platform Architecture and Transparency
How UX design influences the likelihood of ethical disclosure by influencers. Drawing on a content analysis of 500 sponsored posts across four platforms, this study demonstrates that default interface affordances — toggle placement, label prominence, and friction in the posting flow — predict disclosure compliance more strongly than regulatory regime or creator tenure. Implications for […]
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Talks & Presentations
ICE 2026 • Paper Presentation
“Rated by AI: The Future of Grading”
International Conference on Education
TCU 2025 • Panel
“The AI Disclosure Effect”
Technology in Classrooms Symposium
AAF 2024 • Talk
“Disclosure Defaults in Platform Design”
American Advertising Federation District Meet