1 citations · 1 across the 4 of their papers we have counts for
10 papers
AI Empathy Erodes Cognitive Autonomy in Younger Users
Junfeng Jiao, Abhejay Murali, Saleh Afroogh
Affective alignment in generative AI represents a systemic risk to the developmental autonomy of younger users. Although emotional mirroring is commonly seen as a hallmark of advan…
Evaluating the Effectiveness of OpenAI's Parental Control System
Kerem Ersoz, Saleh Afroogh, David Atkinson +1
We evaluate how effectively platform-level parental controls moderate a mainstream conversational assistant used by minors. Our two-phase protocol first builds a category-balanced…
Do You Feel Comfortable? Detecting Hidden Conversational Escalation in AI Chatbots
Jihyung Park, Saleh Afroogh, David Atkinson +1
Large Language Models (LLM) are increasingly integrated into everyday interactions, serving not only as information assistants but also as emotional companions. Even in the absence…
Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
Abhejay Murali, Saleh Afroogh, Kevin Chen +3
Current safety alignment for Large Language Models (LLMs) implicitly optimizes for a "modal adult user," leaving models vulnerable to distributional shifts in user cognition. We pr…
SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance
Junfeng Jiao, Jihyung Park, Yiming Xu +2
Despite the abundance of public safety documents and emergency protocols, most individuals remain ill-equipped to interpret and act on such information during crises. Traditional e…
LLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models
Junfeng Jiao, Saleh Afroogh, Abhejay Murali +3
This study establishes a novel framework for systematically evaluating the moral reasoning capabilities of large language models (LLMs) as they increasingly integrate into critical…