4 papers
Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas
Katherine Elkins, Jon Chun
Language models are increasingly consulted on ethically consequential questions, yet the stance a model expresses may not survive a change in framing. We audit 16 models across 14…
The Paradox of Robustness: Decoupling Rule-Based Logic from Affective Noise in High-Stakes Decision-Making
Jon Chun, Katherine Elkins
While Large Language Models (LLMs) are widely documented to be sensitive to minor prompt perturbations and prone to sycophantic alignment, their robustness in consequential, rule-b…
Syntactic Framing Fragility: An Audit of Robustness in LLM Ethical Decisions
Katherine Elkins, Jon Chun
Large language models exhibit systematic negation sensitivity, yet no operational framework exists to measure this vulnerability at deployment scale, especially in high-stakes deci…
The AI Fiction Paradox
Katherine Elkins
AI development has a fiction dependency problem. Developers have treated large corpora of modern books, including fiction, as valuable enough to accept substantial cost and legal r…