mlsanityData to 7 Oct 2026

Ethical ChatGPT: Concerns, Challenges, and Commandments

arXiv 2305.10646 ↗First posted 18 May 2023cs.AI cs.CYcited by 13

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Abstract (arXiv)

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural language communication between humans. Problematically, it is very much a ``statistical correlation machine" (correlation instead of causality) and there are indeed ethical concerns associated with the use of AI language models such as ChatGPT, such as Bias, Privacy, and Abuse. This paper highlights specific ethical concerns on ChatGPT and articulates key challenges when ChatGPT is used in various applications. Practical commandments for different stakeholders of ChatGPT are also proposed that can serve as checklist guidelines for those applying ChatGPT in their applications. These commandment examples are expected to motivate the ethical use of ChatGPT.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 6 of its 33 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

6 of 33 references.

References · 6

  1. 2021Ethical and social risks of harm from Language Modelscited by 957
  2. 2021Persistent Anti-Muslim Bias in Large Language Modelscited by 376
  3. 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthycited by 182
  4. 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
  5. 2023Perception, performance, and detectability of conversational artificial intelligence across 32 university coursescited by 12
  6. 2023The moral authority of ChatGPTcited by 11

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 4; 2025: 1; 2026: 1.

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  1. 2023Bias and Fairness in Chatbots: An Overviewcited by 20
  2. 2023Fairness of ChatGPTcited by 19
  3. 2023Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitizationcited by 17
  4. 2023Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Erniecited by 8
  5. 2023MOKA: Moral Knowledge Augmentation for Moral Event Extractioncited by 7
  6. 2025FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Modelscited by 7
  7. 2024Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narrativescited by 5
  8. 2024From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistantcited by 3
  9. 2023Fine-Tuning Language Models for Scientific Writing Supportcited by 2
  10. 2024Stability Analysis of ChatGPT-based Sentiment Analysis in AI Quality Assurancecited by 2
  11. 2024LAPIS: Language Model-Augmented Police Investigation Systemcited by 2
  12. 2023Exploring the effectiveness of ChatGPT-based feedback compared with teacher feedback and self-feedback: Evidence from Chinese to English translationcited by 1
1 more
  1. 2026The Granularity Gap: A Multi-Dimensional Cross-Generational Audit of Sycophancy in Gemini Modelscited by 0