Papers in the Category "AI/LLMs"
E. Gong, N. E. Sanders, B. Schneier, Characterizing the Ability of LLMs to Recapitulate Americans’ Distributional Responses to Public Opinion Polling Questions Across Political Issues, arXiv:2603.20229 [cs.CY], March 6, 2026.
N. E. Sanders, B. Schneier, How Sky-High AI Pay Warps Science, Nature, v. 650, pp. 554–555, February 19, 2026, https://doi.org/10.1038/d41586-026-00474-3.
F. Heiding, S. Lermen, A. Koo, C. M. Verdun, B. Schneier, A. Vishwanath, Evaluating Large Language Models’ Ability to Automate Spear Phishing, Expert Systems with Applications, v. 314, June 5, 2026, 131546.
O. Brodt, E. Feldman, B. Schneier, and B. Nassi, The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism, arXiv:2601.09625v2 [cs.CR], February 10, 2026.
B. Schneier, AI and Spying, George Washington Journal of Law & Technology, v. 2, Symposium Issue, 2026, pp. 31–35.
B. Raghavan and B. Schneier, Agentic AI’s OODA Loop Problem, IEEE Security & Privacy, September/October 2025.
B. Schneier, AI and Trust, Communications of the ACM, Online First, June 12, 2025, https://dl.acm.org/doi/10.1145/3737610.
B. Schneier, N. E. Sanders, D. Jemielniak, E. Begoli, A. Sadovnik, 3 Ways to Keep AI on Our Side: AI Researchers Can Draw Lessons from Cybersecurity, Robotics, and Astrobiology, IEEE Spectrum, v. 62, n. 4, April 2025.
C. Summerfield, L. Argyle, M. Bakker, T. Collins, E. Durmus, T. Eloundou, I. Gabriel, D. Ganguli, K. Hackenburg, G. Hadfield, L. Hewitt, S. Huang, H. Landemore, N. Marchal, A. Ovadya, A. Procaccia, M. Risse, B. Schneier, E. Seger, D. Siddarth, H. S. Sætra, M. H. Tessler, M. Botvinick, The Impact of Advanced AI Systems on Democracy, Nature Human Behavior, October 1, 2025, https://doi.org/10.1038/s41562-025-02309-z.
C. Porios, L. Guerin, and B. Schneier, Assessing the Neutrality of Edits on Wikipedia, Wiki Workshop (11th edition), June 20, 2024.
F. Heiding, B. Schneier, and A. Vishwanath, AI Will Increase the Quantity—and Quality—of Phishing Scams, Harvard Business Review, May 30, 2024.
F. Heiding, B. Schneier, A. Vishwanath, J. Bernstein, P. S. Park, Devising and Detecting Phishing Emails Using Large Language Models, IEEE Access, March 11, 2024.
N. E. Sanders, A. Ulinich, B. Schneier, Demonstrations of the Potential of AI-based Political Issue Polling, arXiv:2307.04781 [cs.CY], July 10, 2023.
N. E. Sanders and B. Schneier, Machine Learning Featurizations for AI Hacking of Political Systems, arXiv:2110.09231 [cs.CY], October 8, 2021.
B. Schneier, The Coming AI Hackers, Belfer Center for Science and International Affairs, Harvard Kennedy School, April 2021.
Sidebar photo of Bruce Schneier by Joe MacInnis.