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ChatGPT has become a global sensation. As ChatGPT and other Large Language Models (LLMs) emerge, concerns of misusing them in various ways increase, such as disseminating fake news, plagiarism, manipulating public opinion, cheating, and…

Machine Learning · Computer Science 2023-04-06 Alessandro Pegoraro , Kavita Kumari , Hossein Fereidooni , Ahmad-Reza Sadeghi

Conversation with chatbots based on Large Language Models (LLMs) such as ChatGPT has become one of the major forms of interaction with Artificial Intelligence (AI) in everyday life. What makes this interaction so convenient is that…

Human-Computer Interaction · Computer Science 2026-03-18 Sarah Diefenbach , Daniel Ullrich

As AI systems become increasingly integrated into daily life, their potential to exacerbate or trigger severe psychological harms remains poorly understood and inadequately tested. This paper presents a proactive methodology for…

Human-Computer Interaction · Computer Science 2025-11-13 Chayapatr Archiwaranguprok , Constanze Albrecht , Pattie Maes , Karrie Karahalios , Pat Pataranutaporn

When Artificial Intelligence (AI) is used to replace consumers (e.g., synthetic data), it is often assumed that AI emulates established consumers, and more generally human behaviors. Ten experiments with Large Language Models (LLMs)…

Human-Computer Interaction · Computer Science 2025-10-10 Antonios Stamatogiannakis , Arsham Ghodsinia , Sepehr Etminanrad , Dilney Gonçalves , David Santos

Traditional methods for raising awareness of privacy protection often fail to engage users or provide hands-on insights into how privacy vulnerabilities are exploited. To address this, we incorporate an adversarial mechanic in the design of…

Human-Computer Interaction · Computer Science 2025-05-23 Jiaying Fu , Yiyang Lu , Zehua Yang , Fiona Nah , RAY LC

Hundreds of millions of users now hold detailed, multi-turn conversations with ChatGPT and similar LLM assistants. We measure two privacy-relevant features of these conversations on a corpus of complete ChatGPT histories donated by over…

Computers and Society · Computer Science 2026-05-25 S M Mehedi Zaman , Kiran Garimella

The success and wide adoption of generative AI (GenAI), particularly large language models (LLMs), has attracted the attention of cybercriminals seeking to abuse models, steal sensitive data, or disrupt services. Moreover, providing…

Trustworthy clinical advice is crucial but burdensome when seeking health support from professionals. Inaccessibility and financial burdens present obstacles to obtaining professional clinical advice, even when healthcare is available.…

Human-Computer Interaction · Computer Science 2024-02-14 Delong Du , Richard Paluch , Gunnar Stevens , Claudia Müller

This study presents a unique framework that applies and extends Solove (2006)'s taxonomy to address privacy concerns in interactions with text-based AI chatbots. As chatbot prevalence grows, concerns about user privacy have heightened.…

Human-Computer Interaction · Computer Science 2024-02-16 Ece Gumusel , Kyrie Zhixuan Zhou , Madelyn Rose Sanfilippo

Political biases in Large Language Model (LLM)-based artificial intelligence (AI) systems, such as OpenAI's ChatGPT or Google's Gemini, have been previously reported. While several prior studies have attempted to quantify these biases using…

Computers and Society · Computer Science 2025-03-17 David Rozado

This work explores the impact of moderation on users' enjoyment of conversational AI systems. While recent advancements in Large Language Models (LLMs) have led to highly capable conversational AIs that are increasingly deployed in…

Human-Computer Interaction · Computer Science 2023-04-21 Xiaoding Lu , Aleksey Korshuk , Zongyi Liu , William Beauchamp , Chai Research

Large language models (LLMs) are increasingly being used in privacy pipelines to detect and remedy sensitive data leakage. These solutions often rely on the premise that LLMs can reliably recognize human names, one of the most important…

Cryptography and Security · Computer Science 2026-04-28 Dzung Pham , Peter Kairouz , Niloofar Mireshghallah , Eugene Bagdasarian , Chau Minh Pham , Amir Houmansadr

Large Language Models (LLMs) are increasingly being used for automated evaluations and explaining them. However, concerns about explanation quality, consistency, and hallucinations remain open research challenges, particularly in…

Human-Computer Interaction · Computer Science 2025-04-18 Vincent Freiberger , Arthur Fleig , Erik Buchmann

Recent breakthroughs in natural language processing (NLP) have permitted the synthesis and comprehension of coherent text in an open-ended way, therefore translating the theoretical algorithms into practical applications. The large language…

Computation and Language · Computer Science 2023-05-30 Terry Yue Zhuo , Yujin Huang , Chunyang Chen , Zhenchang Xing

The recent success of Large Language Models (LLMs) has sparked concerns about their potential to spread misinformation. As a result, there is a pressing need for tools to identify ``fake arguments'' generated by such models. To create these…

With the increasing use of conversational AI systems, there is growing concern over privacy leaks, especially when users share sensitive personal data in interactions with Large Language Models (LLMs). Conversations shared with these models…

Computation and Language · Computer Science 2025-11-03 Jayden Serenari , Stephen Lee

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

Cryptography and Security · Computer Science 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

Retrieval-augmented generation (RAG) is a powerful technique to facilitate language model with proprietary and private data, where data privacy is a pivotal concern. Whereas extensive research has demonstrated the privacy risks of large…

Cryptography and Security · Computer Science 2024-03-03 Shenglai Zeng , Jiankun Zhang , Pengfei He , Yue Xing , Yiding Liu , Han Xu , Jie Ren , Shuaiqiang Wang , Dawei Yin , Yi Chang , Jiliang Tang

Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast…

Cryptography and Security · Computer Science 2025-06-23 Yashothara Shanmugarasa , Ming Ding , M. A. P Chamikara , Thierry Rakotoarivelo

Automated coaching messages for weight control can save time and costs, but their repetitive, generic nature may limit their effectiveness compared to human coaching. Large language model (LLM) based artificial intelligence (AI) chatbots,…

Computation and Language · Computer Science 2025-02-25 Zhuoran Huang , Michael P. Berry , Christina Chwyl , Gary Hsieh , Jing Wei , Evan M. Forman