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Large Language Models (LLMs) are increasingly utilized for mental health support; however, current safety benchmarks often fail to detect the complex, longitudinal risks inherent in therapeutic dialogue. We introduce an evaluation framework…

计算与语言 · 计算机科学 2026-03-06 Ian Steenstra , Paola Pedrelli , Weiyan Shi , Stacy Marsella , Timothy W. Bickmore

This research article critically examines the potential risks and implications arising from the malicious utilization of large language models(LLM), focusing specifically on ChatGPT and Google's Bard. Although these large language models…

密码学与安全 · 计算机科学 2023-05-25 P. V. Sai Charan , Hrushikesh Chunduri , P. Mohan Anand , Sandeep K Shukla

Large language models (LLMs) chatbots like ChatGPT are increasingly used for mental health support. They offer accessible, therapeutic support but also raise concerns about misinformation, over-reliance, and risks in high-stakes contexts of…

计算机与社会 · 计算机科学 2025-12-09 Lingyao Li , Xiaoshan Huang , Renkai Ma , Ben Zefeng Zhang , Haolun Wu , Fan Yang , Chen Chen

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

计算机与社会 · 计算机科学 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

人机交互 · 计算机科学 2023-02-16 A. Baki Kocaballi

While Large Language Models (LLMs) are rapidly integrating into daily life, research on their risks often remains lab-based and disconnected from the problems users encounter "in the wild." While recent HCI research has begun to explore…

计算机与社会 · 计算机科学 2025-09-12 Lingyao Li , Renkai Ma , Zhaoqian Xue , Junjie Xiong

Recent advancements in large language models (LLMs) have significantly enhanced capabilities in natural language processing and artificial intelligence. These models, including GPT-3.5 and LLaMA-2, have revolutionized text generation,…

计算与语言 · 计算机科学 2024-02-06 Yunhong He , Jianling Qiu , Wei Zhang , Zhengqing Yuan

Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthcare [23]. LLMs are open-ended models trained on diverse data…

密码学与安全 · 计算机科学 2024-12-24 Herve Debar , Sven Dietrich , Pavel Laskov , Emil C. Lupu , Eirini Ntoutsi

Large language models (LLMs) are expected to follow instructions from users and engage in conversations. Techniques to enhance LLMs' instruction-following capabilities typically fine-tune them using data structured according to a predefined…

密码学与安全 · 计算机科学 2025-01-08 Fengqing Jiang , Zhangchen Xu , Luyao Niu , Bill Yuchen Lin , Radha Poovendran

We investigate the role of large language models (LLMs) in supporting mental health by analyzing Reddit posts and comments about mental health conversations with ChatGPT. Our findings reveal that users value ChatGPT as a safe,…

人机交互 · 计算机科学 2025-10-28 Kyuha Jung , Gyuho Lee , Yuanhui Huang , Yunan Chen

Large language models and AI chatbots have been at the forefront of democratizing artificial intelligence. However, the releases of ChatGPT and other similar tools have been followed by growing concerns regarding the difficulty of…

密码学与安全 · 计算机科学 2024-02-05 Sippo Rossi , Alisia Marianne Michel , Raghava Rao Mukkamala , Jason Bennett Thatcher

Large language models, pivotal in artificial intelligence, find diverse applications. ChatGPT (Chat Generative Pre-trained Transformer), an OpenAI creation, stands out as a widely adopted, powerful tool. It excels in chatbots, content…

计算与语言 · 计算机科学 2025-05-28 Walid Hariri

Large Language Models (LLMs) such as ChatGPT can infer personal attributes from seemingly innocuous text, raising privacy risks beyond memorized data leakage. While prior work has demonstrated these risks, little is known about how users…

人机交互 · 计算机科学 2025-09-16 Synthia Wang , Sai Teja Peddinti , Nina Taft , Nick Feamster

Large Language Models (LLMs) are increasingly deployed as autonomous agents capable of actions with real-world impacts beyond text generation. While persona-induced biases in text generation are well documented, their effects on agent task…

计算与语言 · 计算机科学 2026-02-16 Linbo Cao , Lihao Sun , Yang Yue

With the widespread availability of LLMs since the release of ChatGPT and increased public scrutiny, commercial model development appears to have focused their efforts on 'safety' training concerning legal liabilities at the expense of…

计算与语言 · 计算机科学 2024-08-02 Alina Leidinger , Richard Rogers

Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of this technology naturally raises questions about the…

人工智能 · 计算机科学 2024-03-15 Jonathan Shaki , Sarit Kraus , Michael Wooldridge

LLM-driven chatbots like ChatGPT have created large volumes of conversational data, but little is known about how user privacy expectations are evolving with this technology. We conduct a survey experiment with 300 US ChatGPT users to…

Growing applications of large language models (LLMs) trained by a third party raise serious concerns on the security vulnerability of LLMs.It has been demonstrated that malicious actors can covertly exploit these vulnerabilities in LLMs…

密码学与安全 · 计算机科学 2023-12-11 Shuli Jiang , Swanand Ravindra Kadhe , Yi Zhou , Ling Cai , Nathalie Baracaldo

People increasingly hold sustained, open-ended conversations with large language models (LLMs). Public reports and early studies suggest that, in such settings, models can reinforce delusional or conspiratorial ideation or even amplify…

人机交互 · 计算机科学 2026-04-09 Peter Kirgis , Ben Hawriluk , Sherrie Feng , Aslan Bilimer , Sam Paech , Zeynep Tufekci

Large language models (LLMs) can provide users with false, inaccurate, or misleading information, and we consider the output of this type of information as what Natale (2021) calls `banal' deceptive behaviour. Here, we investigate peoples'…

计算机与社会 · 计算机科学 2025-10-29 Xiao Zhan , Yifan Xu , Noura Abdi , Joe Collenette , Ruba Abu-Salma , Stefan Sarkadi