A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIGC uses generative large AI algorithms to assist or replace humans in creating massive, high-quality, and human-like content at a faster pace and lower cost, based on user-provided prompts. Despite the recent significant progress in AIGC, security, privacy, ethical, a
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
OpenAlex · 1 January 2023
Ethical Considerations of Using ChatGPT in Health Care
OpenAlex · 25 July 2023
The Impact of Security and Privacy Controls on Users' Emotional Engagement with Generative AI Chatbots
arXiv cs.HC · 7 July 2026
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks
arXiv cs.LG · 15 July 2026
Platform Choice, Trust, and Privacy in the Consumer AI Assistant Market
arXiv cs.CY · 17 July 2026
From Novelty to Normalisation: Tracking Changing Perceptions of AI in Higher Education, 2024-2026
arXiv cs.CY · 21 July 2026
How to cite this record
ethics.ai (1 January 2023), “A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions,” evidence record 9439, https://ethics.ai/record/9439 (originally published by OpenAlex).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.