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Unveiling Security, Privacy, And Ethical Concerns Of Chatgpt

Xiaodong Wu, Ran Duan, Jianbing Ni . Journal of Information and Intelligence 2024 – 150 citations

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Applications Compositional Generalization Content Enrichment Dialogue & Multi Turn Ethics & Fairness Interdisciplinary Approaches Llm For Code Model Architecture Multimodal Semantic Representation Privacy Reinforcement Learning Security Variational Autoencoders

This paper delves into the realm of ChatGPT, an AI-powered chatbot that utilizes topic modeling and reinforcement learning to generate natural responses. Although ChatGPT holds immense promise across various industries, such as customer service, education, mental health treatment, personal productivity, and content creation, it is essential to address its security, privacy, and ethical implications. By exploring the upgrade path from GPT-1 to GPT-4, discussing the model’s features, limitations, and potential applications, this study aims to shed light on the potential risks of integrating ChatGPT into our daily lives. Focusing on security, privacy, and ethics issues, we highlight the challenges these concerns pose for widespread adoption. Finally, we analyze the open problems in these areas, calling for concerted efforts to ensure the development of secure and ethically sound large language models.

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