Privacy

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Are Chatbots Safe? A Look at User Privacy Concerns

Since the launch of advanced Artificial Intelligence (AI) chatbots like OpenAI’s ChatGPT-3 in late 2022, these conversational tools have quickly become integral to our daily lives. They can answer questions, assist with tasks, and engage in friendly conversations—all in natural language, similar to chatting with a real person. However, this growing use of chatbots raises a significant concern: user privacy. This article explores the importance of user privacy when interacting with AI chatbots, what current research reveals about these concerns, and how future regulations might create a more secure digital environment.

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View analysis of personal information leakage and privacy protection in big data era—based on Q method

People’s attitudes towards personal information privacy are varied and complicated. Some people are conservative to the disclosure to personal information while others hold positive attitudes towards to information disclosure for customized services. Although we can have prior hypothesis about peoples’ views of personal information leakage and privacy protection, the specific types of the views and the reasons behind are not clear.

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GKC-CI: A Unifying Framework For Contextual Norms and Information Governance

Designing technology that is attuned to ethical privacy considerations is a multifaceted challenge that requires a detailed understanding of the interplay between societal privacy norms, governance factors, and information handling practices in specific contexts. A grounding theoretical framework is needed to define the “right” research questions to untangle these interconnected factors across empirical studies from different disciplines. Our recent work integrates contextual integrity (CI) and governing knowledge commons (GKC) into a combined framework. GKC-CI extends the range of inquiry supported by either CI or GKC individually, enabling further insight into privacy expectations and governing factors across contexts.

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