most citedLLM Ethics Benchmark: A Three-Dimensional Assessment System for Evaluating Moral Reasoning in Large Language Models

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DL2026

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines

Saleh Afroogh, Yasser Pouresmaeil, Yiming Xu +3

Large Language Models (LLMs) are rapidly reshaping academic research across the natural sciences, social sciences, and humanities, yet the scientific community lacks a comprehensiv…

cs.HC2026

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…

cs.CY2025

LLM Harms: A Taxonomy and Discussion

Kevin Chen, Saleh Afroogh, Abhejay Murali +3

This study addresses categories of harm surrounding Large Language Models (LLMs) in the field of artificial intelligence. It addresses five categories of harms addressed before, du…

cs.CY2025

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…

cs.CY2025★ 1 cited

Safe-Child-LLM: A Developmental Benchmark for Evaluating LLM Safety in Child-LLM Interactions

Junfeng Jiao, Saleh Afroogh, Kevin Chen +3

As Large Language Models (LLMs) increasingly power applications used by children and adolescents, ensuring safe and age-appropriate interactions has become an urgent ethical impera…

cs.CY2025★ 1 cited

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…

cs.CY2025

LLMs and Childhood Safety: Identifying Risks and Proposing a Protection Framework for Safe Child-LLM Interaction

Junfeng Jiao, Saleh Afroogh, Kevin Chen +3

Large Language Models (LLMs) are increasingly embedded in child-facing contexts such as education, companionship, creative tools, but their deployment raises safety, privacy, devel…