🎓 2026
LLMs Can Fuel Extremist Attitudes Using Universal Moral Framings
Rosamunde C. Hendricks, Helena Gil-Buitrago, Clara Pretus
AI Summary
*Rosamunde C. Hendricks, Helena Gil-Buitrago, Clara Pretus (2026)*
Research & Studies
Academic papers and peer-reviewed research I cite in my writing about AI, education, and cognitive science.
🎓 2025
Rethinking Educational Assessment in the Age of Artificial Intelligence: Insights From Recent Training Workshops
Zuheir Khlaif
AI Summary
As generative AI makes traditional assessments increasingly vulnerable to automation, educators need new frameworks for evaluating student learning. This paper draws on workshops with 300+ educators across the Global South to propose practical strategies for AI-era assessment design.
🎓 2025
Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beresnitzky, Iris Braunstein, Pattie Maes
AI Summary
*Nataliya Kosmyna, Eugene Hauptmann, Ye Tong Yuan, Jessica Situ, Xian-Hao Liao, Ashly Vivian Beresnitzky, Iris Braunstein, Pattie Maes (2025)*
🎓 2025
The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
Hao-Ping (Hank) Lee, Advait Sarkar, Lev Tankelevitch, Ian Drosos, Sean Rintel, Richard Banks, Nicholas Wilson
AI Summary
From Carnegie Mellon University and Microsoft Research, this is one of the first large-scale studies examining how generative AI affects critical thinking in real workplace settings. The central finding — that trusting AI more leads to thinking less — has profound implications for knowledge work and education alike.
🎓 2024
Generative AI Can Harm Learning
Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Özge Kabakcı, Rei Mariman
AI Summary
This is one of the first rigorous field experiments demonstrating that generative AI access can actively harm learning outcomes. The finding that students perform *worse* after losing AI access than students who never had it suggests a dependency effect with serious implications for education policy.
🎓 2024
Are We Inventing Ourselves Out of Our Own Usefulness? Striking a Balance Between Creativity and AI
Noel Carroll
AI Summary
Published in AI & Society’s “Curmudgeon Corner,” this essay cuts through the hype cycle around generative AI to ask a fundamental question: when AI can produce text, images, and music in seconds, what happens to the human creative journey that has driven civilization?
🎓 2024
AI Meets the Classroom: When Do Large Language Models Harm Learning?
Matthias Lehmann, Philipp B. Cornelius, Fabian J. Sting
AI Summary
While the debate around AI in education often focuses on whether AI helps or harms, this study reveals a more nuanced picture: *how* students use AI matters more than *whether* they use it. The distinction between substitution and complementary use has direct implications for how educators should structure AI-assisted learning.
🎓 2022
Language Models Exhibit Emergent Abilities in Complex Reasoning Tasks
Jason Wei, Yi Tay, Rishi Bommasani, et al.
AI Summary
*Jason Wei, Yi Tay, Rishi Bommasani, et al. (2022)*
8 studies referenced