A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
arXiv:2305.18339 · doi:10.1109/OJCS.2023.3300321
Abstract
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, and legal challenges still need to be addressed. This paper presents an in-depth survey of working principles, security and privacy threats, state-of-the-art solutions, and future challenges of the AIGC paradigm. Specifically, we first explore the enabling technologies, general architecture of AIGC, and discuss its working modes and key characteristics. Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies. Furthermore, we review the state-of-the-art AIGC watermarking approaches for regulatable AIGC paradigms regarding the AIGC model and its produced content. Finally, we identify future challenges and open research directions related to AIGC.
arXiv comment20 pages, 6 figures, 4 tables
References in corpus (22)
- Training language models to follow instructions with human feedback
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
- A Survey on Metaverse: Fundamentals, Security, and Privacy
- Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
- Stealing Machine Learning Models via Prediction APIs
- Embedding Watermarks into Deep Neural Networks
- A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
- Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization
- A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
- ChatGPT is not all you need. A State of the Art Review of large Generative AI models
- Adversarial Video Generation on Complex Datasets
- How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
- A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
- A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains
- Thieves on Sesame Street! Model Extraction of BERT-based APIs
- One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
- AI-Generated Content (AIGC): A Survey
- A very preliminary analysis of DALL-E 2
- Ignore Previous Prompt: Attack Techniques For Language Models
- Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
- Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
Cited by in corpus (16)
- AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
- Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
- Social Metaverse: Challenges and Solutions
- Social-Aware Clustered Federated Learning with Customized Privacy Preservation
- Scaffolding Creativity: Integrating Generative AI Tools and Real-world Experiences in Business Education
- Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations
- Secured and Cooperative Publish/Subscribe Scheme in Autonomous Vehicular Networks
- Robustness and Cybersecurity in the EU Artificial Intelligence Act
- Large Model Empowered Metaverse: State-of-the-Art, Challenges and Opportunities
- The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies
- Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust
- RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications
- The Evolution and Future Perspectives of Artificial Intelligence Generated Content
- Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions
- Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis
- The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)