mlsanityData to 7 Oct 2026

A Pathway Towards Responsible AI Generated Content

arXiv 2303.01325 ↗First posted 2 Mar 2023cs.AIcited by 38

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Abstract (arXiv)

AI Generated Content (AIGC) has received tremendous attention within the past few years, with content generated in the format of image, text, audio, video, etc. Meanwhile, AIGC has become a double-edged sword and recently received much criticism regarding its responsible usage. In this article, we focus on 8 main concerns that may hinder the healthy development and deployment of AIGC in practice, including risks from (1) privacy; (2) bias, toxicity, misinformation; (3) intellectual property (IP); (4) robustness; (5) open source and explanation; (6) technology abuse; (7) consent, credit, and compensation; (8) environment. Additionally, we provide insights into the promising directions for tackling these risks while constructing generative models, enabling AIGC to be used more responsibly to truly benefit society.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). Builds on 39 of its 93 references that are in the map. First posted on arXiv 2 Mar 2023.

Builds on

39 of 93 references.

References · 39

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  5. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  6. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  7. 2020Extracting Training Data from Large Language Modelscited by 2,144
  8. 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
  9. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
  10. 2021LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairscited by 1,544
  11. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  12. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
27 more
  1. 2021Ethical and social risks of harm from Language Modelscited by 957
  2. 2021Robust fine-tuning of zero-shot modelscited by 785
  3. 2022Quantifying Memorization Across Neural Language Modelscited by 755
  4. 2023A Watermark for Large Language Modelscited by 667
  5. 2021Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LMcited by 621
  6. 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 475
  7. 2023MusicLM: Generating Music From Textcited by 442
  8. 2022Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Modelscited by 418
  9. 2021Multimodal datasets: misogyny, pornography, and malignant stereotypescited by 326
  10. 2022Deduplicating Training Data Mitigates Privacy Risks in Language Modelscited by 309
  11. 2021Deblurring via Stochastic Refinementcited by 248
  12. 2020Large image datasets: A pyrrhic win for computer vision?cited by 237
  13. 2021Challenges in Detoxifying Language Modelscited by 169
  14. 2022Differentially Private Diffusion Modelscited by 118
  15. 2021Detoxifying Language Models Risks Marginalizing Minority Voicescited by 106
  16. 2022How to Backdoor Diffusion Models?cited by 102
  17. 2022Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domainscited by 85
  18. 2021Protecting Intellectual Property of Language Generation APIs with Lexical Watermarkcited by 78
  19. 2022CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarkscited by 68
  20. 2020A Non-Parametric Test to Detect Data-Copying in Generative Modelscited by 52
  21. 2022Fine-mixing: Mitigating Backdoors in Fine-tuned Language Modelscited by 50
  22. 2022When do GANs replicate? On the choice of dataset sizecited by 34
  23. 2021Defending Against Backdoor Attacks in Natural Language Generationcited by 30
  24. 2023ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigmscited by 29
  25. 2021This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Facescited by 25
  26. 2022How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?cited by 17
  27. 2022The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learningcited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 20; 2024: 13; 2025: 3; 2026: 2.

38 papers.

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  1. 2023Multi-step Jailbreaking Privacy Attacks on ChatGPTcited by 320
  2. 2023Can LLM-Generated Misinformation Be Detected?cited by 173
  3. 2023AGIQA-3K: An Open Database for AI-Generated Image Quality Assessmentcited by 142
  4. 2025A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deploymentcited by 110
  5. 2023When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directionscited by 83
  6. 2023An Unforgeable Publicly Verifiable Watermark for Large Language Modelscited by 54
  7. 2024Sora as a World Model? A Complete Survey on Text-to-Video Generationcited by 53
  8. 2024Voice Jailbreak Attacks Against GPT-4ocited by 39
  9. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 34
  10. 2023Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shiftcited by 31
  11. 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?cited by 25
  12. 2023Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attackscited by 24
26 more
  1. 2023FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Modelscited by 20
  2. 2023Evade ChatGPT Detectors via A Single Spacecited by 18
  3. 2023Targeted Attack Improves Protection against Unauthorized Diffusion Customizationcited by 18
  4. 2024From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguardscited by 17
  5. 2023On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlookcited by 15
  6. 2024Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generationcited by 15
  7. 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
  8. 2024Evaluating and Mitigating IP Infringement in Visual Generative AIcited by 13
  9. 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authenticationcited by 12
  10. 2024Replication in Visual Diffusion Models: A Survey and Outlookcited by 11
  11. 2024Hidding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detectioncited by 10
  12. 2024ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbationcited by 10
  13. 2023Who Said That? Benchmarking Social Media AI Detectioncited by 9
  14. 2024U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AIcited by 7
  15. 2023Alteration-free and Model-agnostic Origin Attribution of Generated Imagescited by 4
  16. 2023BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Modelscited by 4
  17. 2025Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Modelscited by 4
  18. 2024DDAP: Dual-Domain Anti-Personalization against Text-to-Image Diffusion Modelscited by 3
  19. 2023The Rise of Creative Machines: Exploring the Impact of Generative AIcited by 1
  20. 2024Copyleft for Alleviating AIGC Copyright Dilemma: What-if Analysis, Public Perception and Implicationscited by 1
  21. 2023Attention Paper: How Generative AI Reshapes Digital Shadow Industry?cited by 0
  22. 2023DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Modelscited by 0
  23. 2023Trustworthy Large Models in Vision: A Surveycited by 0
  24. 2025Almost Sure Convergence Analysis of Differentially Private Stochastic Gradient Methodscited by 0
  25. 2026When Agents Persuade: Rhetoric Generation and Mitigation in LLMscited by 0
  26. 2026The Challenges of Balancing AI Compliance and Technological Innovations in Critical Sectors: A Systematic Literature Reviewcited by 0