Generative AI in the Workplace: Understanding Privacy and Generative AI in the Workplace: Understanding Privacy and Security Concerns Security Concerns

Understanding User Needs and A ! itudes for Privacy Protection Tools in Online Visual Content Sharing

Chat First, Worry Later: Understanding Individuals'Privacy Perceptions Using ChatGPT in a Work Context

Higher privacy concerns were found to negatively influence both the frequency of ChatGPT use and the diversity of its applications, especially among users in organizations without GenAI policies.

Security and privacy challenges of RAG systems

This study presents a detailed, actionable approach to constructing secure, privacy-focused RAG systems and culminates in the Integrated Privacy-Preserving RAG Framework (IPRAG), a five-tier architecture supported by a three-phase deployment protocol.

Vulnerabilities in Personalization: Assessing Health Privacy Risks in ChatGPT Logs and Memory

A large-scale computational audit analyzing 179,057 conversations across India, Nigeria, Brazil, and Pakistan is presented to evaluate personal health disclosures and background memory synthesis in ChatGPT and concludes with sociotechnical design guidelines to restore user agency and consent-driven boundaries in statef...

Privacy assurances and professional-boundary warnings in generative AI mental health chatbots: a randomized vignette experiment on calibrated trust, overreliance risk, and professional help-seeking intentions

It is suggested that visible privacy and boundary messages can influence how students judge AI chatbots in mental health-related situations and may help users treat chatbots as limited tools for information and support navigation and recognize when professional help is needed.

GENERATIVE AI, TRUST AND TRANSPARENCY: A STUDY ON ETHICAL CONCERNS AND AI GOVERNANCE AMONG MANAGEMENT STUDENTS

In recent years, generative AI (GenAI) tools such as ChatGPT, Gemini and Copilot have become part of education, and students use them for preparing assignments, clarifying doubts and creating academic content. Although GenAI supports learning and saves time, it also raises ethical challenges such as data privacy, bias,...