ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective
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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.
Builds on
18 of 182 references.
References · 18
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6 more
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Citing papers per year: 2023: 11; 2024: 5; 2025: 3; 2026: 3.
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- 2023Factuality Challenges in the Era of Large Language Modelscited by 125
- 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writingcited by 98
- 2023Identifying and Mitigating the Security Risks of Generative AIcited by 90
- 2023A Survey on Detection of LLMs-Generated Contentcited by 70
- 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Modelscited by 40
- 2023DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detectioncited by 18
- 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
- 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionalscited by 13
- 2024The Pursuit of Fairness in Artificial Intelligence Models: A Surveycited by 13
- 2023Simulating H.P. Lovecraft horror literature with the ChatGPT large language modelcited by 3
- 2023Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challengescited by 3
- 2024HULLMI: Human vs LLM identification with explainabilitycited by 3
10 more
- 2023Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scalecited by 2
- 2023Best uses of ChatGPT and Generative AI for computer science researchcited by 1
- 2024GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attributecited by 1
- 2024How to build trust in answers given by Generative AI for specific, and vague, financial questionscited by 1
- 2025KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoningcited by 1
- 2025Advances in Large Language Models for Medicinecited by 1
- 2025A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarioscited by 1
- 2026Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scalecited by 1
- 2026The End of Trust: How Agentic AI Breaks Security Assumptionscited by 0
- 2026The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoptioncited by 0
- 2026The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption9 Sep 2026
- 2026The End of Trust: How Agentic AI Breaks Security Assumptions14 May 2026
- 2026Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scale15 Feb 2026
- 2025A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarios19 Nov 2025
- 2025Advances in Large Language Models for Medicine23 Sep 2025
- 2025KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning7 May 2025
- 2024HULLMI: Human vs LLM identification with explainability7 Sep 2024
- 2024How to build trust in answers given by Generative AI for specific, and vague, financial questions26 Aug 2024
- 2024The Pursuit of Fairness in Artificial Intelligence Models: A Survey26 Mar 2024
- 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionals15 Mar 2024
- 2024GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attribute13 Mar 2024
- 2023Best uses of ChatGPT and Generative AI for computer science research18 Nov 2023
10 more
- 2023A Survey on Detection of LLMs-Generated Content24 Oct 2023
- 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing12 Oct 2023
- 2023Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges11 Oct 2023
- 2023Factuality Challenges in the Era of Large Language Models8 Oct 2023
- 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models1 Oct 2023
- 2023Identifying and Mitigating the Security Risks of Generative AI28 Aug 2023
- 2023Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale8 Jun 2023
- 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond1 Jun 2023
- 2023DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection21 May 2023
- 2023Simulating H.P. Lovecraft horror literature with the ChatGPT large language model5 May 2023
- 2023Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challengescited by 3
- 2026Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scalecited by 1
- 2026The End of Trust: How Agentic AI Breaks Security Assumptionscited by 0
- 2026The End of Trust: How Agentic AI Breaks Security Assumptions14 May 2026
- 2026Trustworthy AI Posture (TAIP): A Framework for Continuous AI Assurance of Agentic Systems at Horizontal and Vertical scale15 Feb 2026
- 2023Large-Language-Model-Powered Agent-Based Framework for Misinformation and Disinformation Research: Opportunities and Open Challenges11 Oct 2023
- 2023Factuality Challenges in the Era of Large Language Modelscited by 125
- 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writingcited by 98
- 2023Identifying and Mitigating the Security Risks of Generative AIcited by 90
- 2023A Survey on Detection of LLMs-Generated Contentcited by 70
- 2023GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Modelscited by 40
- 2023DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detectioncited by 18
- 2023Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyondcited by 14
- 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionalscited by 13
- 2024The Pursuit of Fairness in Artificial Intelligence Models: A Surveycited by 13
- 2023Simulating H.P. Lovecraft horror literature with the ChatGPT large language modelcited by 3
- 2024HULLMI: Human vs LLM identification with explainabilitycited by 3
- 2023Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scalecited by 2
12 most cited of 19 All 19 (JSON)
- 2026The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption9 Sep 2026
- 2025A Crowdsourced Study of ChatBot Influence in Value-Driven Decision Making Scenarios19 Nov 2025
- 2025Advances in Large Language Models for Medicine23 Sep 2025
- 2025KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning7 May 2025
- 2024HULLMI: Human vs LLM identification with explainability7 Sep 2024
- 2024How to build trust in answers given by Generative AI for specific, and vague, financial questions26 Aug 2024
- 2024The Pursuit of Fairness in Artificial Intelligence Models: A Survey26 Mar 2024
- 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionals15 Mar 2024
- 2024GPT, Ontology, and CAABAC: A Tripartite Personalized Access Control Model Anchored by Compliance, Context and Attribute13 Mar 2024
- 2023Best uses of ChatGPT and Generative AI for computer science research18 Nov 2023
- 2023A Survey on Detection of LLMs-Generated Content24 Oct 2023
- 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writing12 Oct 2023
12 newest of 19 All 19 (JSON)