Privacy Concerns in ChatGPT Data Collection and Its Impact on Individuals

With the rapid adoption of generative AI technologies across various sectors, it has become increasingly important to understand how these systems handle personal data. The study examines users’ awareness of the types of data collected, the risks involved, and their implications for privacy and security. A comprehensive literature review was conducted to contextualize the ethical, technical, and regulatory challenges associated with generative AI, followed by a pilot survey targeting ChatGPT users from a variety of demographics. The results of the study revealed a significant gap in users’ understanding of data practices, with many participants expressing concerns about unauthorized access to data, prolonged data retention, and a lack of transparency. Despite recognizing the benefits of ChatGPT in various applications, users expressed strong demands for greater control over their data, clearer consent mechanisms, and more transparent communication from developers. The study concludes by emphasizing the need for multi-dimensional solutions that combine technological innovation, regulatory reform, and user-centered design. Recommendations include implementing explainable AI, enhancing educational efforts, adopting privacy-by-design principles, and establishing robust governance frameworks. By addressing these challenges, developers, policymakers, and stakeholders can enhance trust, promote ethical AI deployment, and ensure that generative AI systems serve the public good while respecting individual rights and privacy.

• Publication year

  2025

• Venue

  Future Internet

• Publication date

  2025-11-10

• Fields of study

  Sociology, Computer Science

• Identifiers
  DOI 10.3390/fi17110511
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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