Embedding large language models into extended reality: Opportunities and challenges for inclusion, engagement, and privacy

E Bozkir, S Özdel, KHC Lau, M Wang, H Gao… - Proceedings of the 6th …, 2024 - dl.acm.org
Advances in artificial intelligence and human-computer interaction will likely lead to
extended reality (XR) becoming pervasive. While XR can provide users with interactive …

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions

H Shen, T Knearem, R Ghosh, K Alkiek… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …

CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications

C Chen, D Zhou, Y Ye, TJ Li, Y Yao - arxiv preprint arxiv:2410.13387, 2024 - arxiv.org
The rise of end-user applications powered by large language models (LLMs), including both
conversational interfaces and add-ons to existing graphical user interfaces (GUIs) …

Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent

Z Zhang, B Guo, T Li - arxiv preprint arxiv:2411.01344, 2024 - arxiv.org
Language model (LM) agents that act on users' behalf for personal tasks (eg, replying
emails) can boost productivity, but are also susceptible to unintended privacy leakage risks …

Rescriber: Smaller-LLM-Powered User-Led Data Minimization for Navigating Privacy Trade-offs in LLM-Based Conversational Agent

J Zhou, E Xu, Y Wu, T Li - arxiv preprint arxiv:2410.11876, 2024 - arxiv.org
The proliferation of LLM-based conversational agents has resulted in excessive disclosure
of identifiable or sensitive information. However, existing technologies fail to offer …

Chinese Generation and Security Index Evaluation Based on Large Language Model

Y Zhang, Y Gao, W Li, Z Su… - … Conference on Asian …, 2024 - ieeexplore.ieee.org
This study investigates the performance and security indicators of mainstream large
language models in Chinese generation tasks. It explores potential security risks associated …

Navigating the privacy paradox in a digital age: balancing innovation, data collection and ethical responsibility

M Jones - Journal of Ethics in Entrepreneurship and Technology, 2025 - emerald.com
Purpose The purpose of this paper is to explore the intersection of generative artificial
intelligence (AI), data collection and consumer privacy, highlighting ethical tensions in AI …

The Road Towards Sustainability: Transforming Consumption Patterns with Artificial Intelligence

CR Jude - International Journal of Academic Reserach in …, 2024 - knowledgewords.com
This study aims to contribute to a better understanding of the role of artificial intelligence (AI)
in transforming modern consumption patterns and supporting international efforts to …

Research on Security Assessment and Safety Hazards Optimization of Large Language Models

Z Yu - The 14th International Conference on Information … - openreview.net
$$ This study investigated the performance of mainstream large language models in
Chinese security generation tasks, explored the possible security risks of large language …

[引用][C] Security Assessment and Generation Improvement Strategies for Large Language Models

Y Zhang, Y Gao, L Yang - International Journal of Asian Language …, 2025 - World Scientific
This study evaluates the performance of mainstream large language models (LLMs) in
Chinese security generation tasks, examines the potential security risks associated with …