mlsanityData to 7 Oct 2026

Navigating LLM Ethics: Advancements, Challenges, and Future Directions

arXiv 2406.18841 ↗First posted 14 May 2024cs.CY cs.AI cs.CLcited by 28

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Abstract (arXiv)

This study addresses ethical issues surrounding Large Language Models (LLMs) within the field of artificial intelligence. It explores the common ethical challenges posed by both LLMs and other AI systems, such as privacy and fairness, as well as ethical challenges uniquely arising from LLMs. It highlights challenges such as hallucination, verifiable accountability, and decoding censorship complexity, which are unique to LLMs and distinct from those encountered in traditional AI systems. The study underscores the need to tackle these complexities to ensure accountability, reduce biases, and enhance transparency in the influential role that LLMs play in shaping information dissemination. It proposes mitigation strategies and future directions for LLM ethics, advocating for interdisciplinary collaboration. It recommends ethical frameworks tailored to specific domains and dynamic auditing systems adapted to diverse contexts. This roadmap aims to guide responsible development and integration of LLMs, envisioning a future where ethical considerations govern AI advancements in society.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). Builds on 111 of its 202 references that are in the map. First posted on arXiv 14 May 2024.

Builds on

111 of 202 references.

References · 111

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  4. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,919
  5. 2022Emergent Abilities of Large Language Modelscited by 2,483
  6. 2023Evaluating Object Hallucination in Large Vision-Language Modelscited by 1,696
  7. 2021Ethical and social risks of harm from Language Modelscited by 957
  8. 2018XNLI: Evaluating Cross-lingual Sentence Representationscited by 913
  9. 2020StereoSet: Measuring stereotypical bias in pretrained language modelscited by 911
  10. 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Modelscited by 703
  11. 2023Bias and Fairness in Large Language Models: A Surveycited by 626
  12. 2021The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translationcited by 556
38 more
  1. 2020Captum: A unified and generic model interpretability library for PyTorchcited by 542
  2. 2022Knowledge Unlearning for Mitigating Privacy Risks in Language Modelscited by 424
  3. 2022ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detectioncited by 419
  4. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
  5. 2019On Measuring Social Biases in Sentence Encoderscited by 397
  6. 2023Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignmentcited by 394
  7. 2023Multi-step Jailbreaking Privacy Attacks on ChatGPTcited by 320
  8. 2021AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Promptscited by 265
  9. 2020Data and its (dis)contents: A survey of dataset development and use in machine learning researchcited by 259
  10. 2023The False Promise of Imitating Proprietary LLMscited by 254
  11. 2023Challenges and Applications of Large Language Modelscited by 251
  12. 2023A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generationcited by 202
  13. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 196
  14. 2023Automatically Auditing Large Language Models via Discrete Optimizationcited by 187
  15. 2023Gender bias and stereotypes in Large Language Modelscited by 185
  16. 2023Can LLM-Generated Misinformation Be Detected?cited by 173
  17. 2020Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biasescited by 167
  18. 2023A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethicscited by 162
  19. 2023In-Context Impersonation Reveals Large Language Models' Strengths and Biasescited by 154
  20. 2023Auditing large language models: a three-layered approachcited by 135
  21. 2019End-to-End Bias Mitigation by Modelling Biases in Corporacited by 127
  22. 2023AI Transparency in the Age of LLMs: A Human-Centered Research Roadmapcited by 119
  23. 2023Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendationcited by 113
  24. 2023Copyright Violations and Large Language Modelscited by 108
  25. 2023The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversationcited by 107
  26. 2020Scruples: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotescited by 100
  27. 2023Combating Misinformation in the Age of LLMs: Opportunities and Challengescited by 94
  28. 2023A Survey on Fairness in Large Language Modelscited by 91
  29. 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 89
  30. 2017Ethical Challenges in Data-Driven Dialogue Systemscited by 86
  31. 2023Towards Mitigating Hallucination in Large Language Models via Self-Reflectioncited by 81
  32. 2021Mitigating Political Bias in Language Models Through Reinforced Calibrationcited by 73
  33. 2023GPTEval: A Survey on Assessments of ChatGPT and GPT-4cited by 73
  34. 2023Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attackscited by 69
  35. 2022Interactive Model Cards: A Human-Centered Approach to Model Documentationcited by 61
  36. 2023Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermarkcited by 61
  37. 2023Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generatorscited by 56
  38. 2023Fairness-guided Few-shot Prompting for Large Language Modelscited by 53

50 most cited of 111 All 111 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 18; 2026: 6.

28 papers.

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  1. 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 405
  2. 2024When Search Engine Services meet Large Language Models: Visions and Challengescited by 59
  3. 2025LLM Can be a Dangerous Persuader: Empirical Study of Persuasion Safety in Large Language Modelscited by 21
  4. 2024Towards a Unified View of Preference Learning for Large Language Models: A Surveycited by 17
  5. 2025Adaptive Multi-Subspace Representation Steering for Attribute Alignment in Large Language Modelscited by 16
  6. 2024The Sociolinguistic Foundations of Language Modelingcited by 13
  7. 2025Comparative Analysis Based on DeepSeek, ChatGPT, and Google Gemini: Features, Techniques, Performance, Future Prospectscited by 9
  8. 2025Toward Robust Non-Transferable Learning: A Survey and Benchmarkcited by 7
  9. 2025TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Lawcited by 7
  10. 2026ProbeLLM: Automating Principled Diagnosis of LLM Failurescited by 7
  11. 2024Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Modelscited by 6
  12. 2025Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cyclecited by 4
16 more
  1. 2025Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Makingcited by 3
  2. 2025H2HTalk: Evaluating Large Language Models as Emotional Companioncited by 3
  3. 2025Urban Computing in the Era of Large Language Modelscited by 2
  4. 2025Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulationscited by 2
  5. 2025FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Modelcited by 1
  6. 2025A closer look at how large language models trust humans: patterns and biasescited by 1
  7. 2025AGGA: A Dataset of Academic Guidelines for Generative AI and Large Language Modelscited by 0
  8. 2025The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?cited by 0
  9. 2025EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Modelscited by 0
  10. 2025The Algebra of Meaning: Why Machines Need Montague More Than Moore's Lawcited by 0
  11. 2025Morality in AI. A plea to embed morality in LLM architectures and frameworkscited by 0
  12. 2026LLM-Enabled Multi-Agent Systems: Empirical Evaluation and Insights into Emerging Design Patterns & Paradigmscited by 0
  13. 2026Disentangling Prompt Element Level Risk Factors for Hallucinations and Omissions in Mental Health LLM Responsescited by 0
  14. 2026Adversarial Moral Stress Testing of Large Language Modelscited by 0
  15. 2026A Multi-Dimensional Audit of Politically Aligned Large Language Modelscited by 0
  16. 2026ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learningcited by 0