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

J Jiao, S Afroogh, K Chen, A Murali, D Atkinson… - arxiv preprint arxiv …, 2025 - arxiv.org
This study examines the growing use of Large Language Models (LLMs) in child-centered
applications, highlighting safety and ethical concerns such as bias, harmful content, and …

URSimulator: Human-Perception-Driven Prompt Tuning for Enhanced Virtual Urban Renewal via Diffusion Models

C Hu, S Jia, X Li - arxiv preprint arxiv:2409.14589, 2024 - arxiv.org
Tackling Urban Physical Disorder (eg, abandoned buildings, litter, messy vegetation, graffiti)
is essential, as it negatively impacts the safety, well-being, and psychological state of …

Gen-AI for User Safety: A Survey

AP Desai, T Ravi, M Luqman, M Sharma… - … Conference on Big …, 2024 - ieeexplore.ieee.org
In this manuscript, we provide a comprehensive overview of the various work done while
using Gen-AI techniques wrt user safety. In particular, we first provide the various domains …