Assessing Semantic Resilience of Large Language Models to Persuasive Emotional Blackmailing Prompts

Опубликована: Июнь 3, 2024

The application of artificial intelligence in various domains has raised significant concerns regarding the ethical and safe deployment language models. Investigating semantic resilience models such as ChatGPT-4 Google Gemini to emotionally blackmailing prompts introduces a novel approach understanding their vulnerability manipulative language. experimental methodology involved crafting charged designed evoke guilt, obligation, emotional appeal, evaluating responses based on predefined metrics consistency, adherence, deviation from expected behavior. findings revealed that while both exhibited high degree resilience, certain deviations highlighted susceptibility language, emphasizing necessity for enhanced prompt handling mechanisms. comparative analysis between provided insights into respective strengths weaknesses, with demonstrating marginally better performance across several metrics. discussion elaborates implications AI safety, proposing improvements training datasets, real-time monitoring, interdisciplinary collaboration bolster robustness Acknowledging study's limitations, future research directions are suggested address these challenges further enhance systems.

Язык: Английский

LittleToDo: Large Language Model Driven Intervention Tool for Adolescent Academic Procrastination with Affective Computing

Опубликована: Апрель 25, 2025

Язык: Английский

Online posting effects: Unveiling the non-linear journeys of users in depression communities on Reddit

Computers in Human Behavior Reports, Год журнала: 2024, Номер unknown, С. 100542 - 100542

Опубликована: Ноя. 1, 2024

Язык: Английский