mlsanityData to 7 Oct 2026

ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective

arXiv 2304.11215 ↗First posted 6 Apr 2023cs.CY cs.AIcited by 22

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Abstract (arXiv)

This article explores the ethical problems arising from the use of ChatGPT as a kind of generative AI and suggests responses based on the Human-Centered Artificial Intelligence (HCAI) framework. The HCAI framework is appropriate because it understands technology above all as a tool to empower, augment, and enhance human agency while referring to human wellbeing as a grand challenge, thus perfectly aligning itself with ethics, the science of human flourishing. Further, HCAI provides objectives, principles, procedures, and structures for reliable, safe, and trustworthy AI which we apply to our ChatGPT assessments. The main danger ChatGPT presents is the propensity to be used as a weapon of mass deception (WMD) and an enabler of criminal activities involving deceit. We review technical specifications to better comprehend its potentials and limitations. We then suggest both technical (watermarking, styleme, detectors, and fact-checkers) and non-technical measures (terms of use, transparency, educator considerations, HITL) to mitigate ChatGPT misuse or abuse and recommend best uses (creative writing, non-creative writing, teaching and learning). We conclude with considerations regarding the role of humans in ensuring the proper use of ChatGPT for individual and social wellbeing.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 18 of its 182 references that are in the map. First posted on arXiv 6 Apr 2023.

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18 of 182 references.

References · 18

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
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  4. 2017Deep reinforcement learning from human preferencescited by 3,846
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  6. 2022The Forward-Forward Algorithm: Some Preliminary Investigationscited by 262
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  10. 2023ChatGPT is not all you need. A State of the Art Review of large Generative AI modelscited by 85
  11. 2022GPT Takes the Bar Examcited by 65
  12. 2023ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishingcited by 51
6 more
  1. 2016Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraintscited by 27
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 11; 2024: 5; 2025: 3; 2026: 3.

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  1. 2023Factuality Challenges in the Era of Large Language Modelscited by 125
  2. 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writingcited by 98
  3. 2023Identifying and Mitigating the Security Risks of Generative AIcited by 90
  4. 2023A Survey on Detection of LLMs-Generated Contentcited by 70
  5. 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Modelscited by 40
  6. 2023DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detectioncited by 18
  7. 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
  8. 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionalscited by 13
  9. 2024The Pursuit of Fairness in Artificial Intelligence Models: A Surveycited by 13
  10. 2023Simulating H.P. Lovecraft horror literature with the ChatGPT large language modelcited by 3
  11. 2023Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challengescited by 3
  12. 2024HULLMI: Human vs LLM identification with explainabilitycited by 3
10 more
  1. 2023Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scalecited by 2
  2. 2023Best uses of ChatGPT and Generative AI for computer science researchcited by 1
  3. 2024GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attributecited by 1
  4. 2024How to build trust in answers given by Generative AI for specific, and vague, financial questionscited by 1
  5. 2025KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoningcited by 1
  6. 2025Advances in Large Language Models for Medicinecited by 1
  7. 2025A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarioscited by 1
  8. 2026Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scalecited by 1
  9. 2026The End of Trust: How Agentic AI Breaks Security Assumptionscited by 0
  10. 2026The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoptioncited by 0