mlsanityData to 7 Oct 2026

Mapping the Ethics of Generative AI: A Comprehensive Scoping Review

arXiv 2402.08323 ↗First posted 13 Feb 2024cs.CY cs.AIcited by 19

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Abstract (arXiv)

The advent of generative artificial intelligence and the widespread adoption of it in society engendered intensive debates about its ethical implications and risks. These risks often differ from those associated with traditional discriminative machine learning. To synthesize the recent discourse and map its normative concepts, we conducted a scoping review on the ethics of generative artificial intelligence, including especially large language models and text-to-image models. Our analysis provides a taxonomy of 378 normative issues in 19 topic areas and ranks them according to their prevalence in the literature. The study offers a comprehensive overview for scholars, practitioners, or policymakers, condensing the ethical debates surrounding fairness, safety, harmful content, hallucinations, privacy, interaction risks, security, alignment, societal impacts, and others. We discuss the results, evaluate imbalances in the literature, and explore unsubstantiated risk scenarios.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 98 of its 179 references that are in the map. First posted on arXiv 13 Feb 2024.

Builds on

98 of 179 references.

References · 98

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2022Generative Adversarial Networkscited by 5,603
  5. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  6. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  7. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,579
  8. 2015Variational Inference with Normalizing Flowscited by 2,161
  9. 2016Concrete Problems in AI Safetycited by 1,582
  10. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  11. 2019Normalizing Flows for Probabilistic Modeling and Inferencecited by 1,315
  12. 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,242
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  1. 2024Large Language Models: A Surveycited by 506
  2. 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Modelscited by 505
  3. 2023Augmented Language Models: a Surveycited by 398
  4. 2023Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignmentcited by 394
  5. 2023Visual Adversarial Examples Jailbreak Aligned Large Language Modelscited by 307
  6. 2021Unsolved Problems in ML Safetycited by 291
  7. 2023AI Alignment: A Comprehensive Surveycited by 256
  8. 2022The Alignment Problem from a Deep Learning Perspectivecited by 246
  9. 2023Large Language Model Alignment: A Surveycited by 241
  10. 2023Multilingual Jailbreak Challenges in Large Language Modelscited by 222
  11. 2023An Overview of Catastrophic AI Riskscited by 214
  12. 2022Are Large Pre-Trained Language Models Leaking Your Personal Information?cited by 195
  13. 2023AI Deception: A Survey of Examples, Risks, and Potential Solutionscited by 185
  14. 2021The Values Encoded in Machine Learning Researchcited by 172
  15. 2021Alignment of Language Agentscited by 167
  16. 2023A Categorical Archive of ChatGPT Failurescited by 167
  17. 2023Model evaluation for extreme riskscited by 167
  18. 2023Sociotechnical Safety Evaluation of Generative AI Systemscited by 154
  19. 2023Large-scale Multi-Modal Pre-trained Models: A Comprehensive Surveycited by 153
  20. 2022Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reductioncited by 137
  21. 2023From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacycited by 137
  22. 2023Auditing large language models: a three-layered approachcited by 135
  23. 2019Principles alone cannot guarantee ethical AIcited by 134
  24. 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
  25. 2022Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goalscited by 120
  26. 2019Artificial Intelligence: the global landscape of ethics guidelinescited by 107
  27. 2023Deception Abilities Emerged in Large Language Modelscited by 99
  28. 2023Frontier AI Regulation: Managing Emerging Risks to Public Safetycited by 95
  29. 2023Art and the science of generative AI: A deeper divecited by 93
  30. 2023Evaluating the Social Impact of Generative AI Systems in Systems and Societycited by 91
  31. 2022ChatGPT: The End of Online Exam Integrity?cited by 88
  32. 2023Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicitycited by 86
  33. 2023ChatGPT is not all you need. A State of the Art Review of large Generative AI modelscited by 85
  34. 2023Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Reviewcited by 83
  35. 2023Safety Assessment of Chinese Large Language Modelscited by 82
  36. 2021Anticipating Safety Issues in E2E Conversational AI: Framework and Toolingcited by 77
  37. 2023Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilitiescited by 76
  38. 2022In conversation with Artificial Intelligence: aligning language models with human valuescited by 61

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Citing papers per year: 2024: 4; 2025: 12; 2026: 3.

19 papers.

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  1. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 41
  2. 2025Compromising Honesty and Harmlessness in Language Models via Deception Attackscited by 17
  3. 2024The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligencecited by 13
  4. 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authenticationcited by 12
  5. 2025Large Reasoning Models Are Autonomous Jailbreak Agentscited by 12
  6. 2024SEE-DPO: Self Entropy Enhanced Direct Preference Optimizationcited by 7
  7. 2024Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability,Reproducibility, and Practicalitycited by 4
  8. 2025On the Inevitability of Left-Leaning Political Bias in Aligned Language Modelscited by 3
  9. 2025Machine learning applications in archaeological practices: a reviewcited by 2
  10. 2025Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmarkcited by 1
  11. 2025The Role of Generative AI in Facilitating Social Interactions: A Scoping Reviewcited by 1
  12. 2025Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Modelscited by 1
7 more
  1. 2025NDM: A Noise-driven Detection and Mitigation Framework against Implicit Sexual Intentions in Text-to-Image Generationcited by 1
  2. 2026What is Safety? Corporate Discourse, Power, and the Politics of Generative AI Safetycited by 1
  3. 2025DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Mapscited by 0
  4. 2025PRIDE -- Parameter-Efficient Reduction of Identity Discrimination for Equality in LLMscited by 0
  5. 2025The Ethics of Generative AIcited by 0
  6. 2026EpiPersona: Persona Projection and Episode Coupling for Pluralistic Preference Modelingcited by 0
  7. 2026LAAF: A Layered Accountability Architecture Framework for LLM Applicationscited by 0