Cited by 171Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

ChatGPT: More Than a “Weapon of Mass Deception” Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective

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Sison, Alejo José G., Daza, Marco Tulio, Gozalo-Brizuela, Roberto, Garrido-Merchán, Eduardo C.·2024·International Journal of Human–Computer Interaction

Published version of a preprint

Abstract

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. This is an original manuscript of an article published by Taylor & Francis in the International Journal of Human-Computer Interaction on June 27th, 2023, available online: https://doi.org/10.1080/10447318.2023.2225931

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Crossref · 10.1080/10447318.2023.2225931

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59 of 59 references verified0 citation errors · 0 not checkable

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  • The perceived risk of encountering hallucinated outputs can lead users to fact-check content or rely on AI detection tools.

    “Likewise, the perceived risk of encountering hallucinated outputs can lead users to fact-check content or rely on AI detection tools (Sison et al. 2024).”

    From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Sison et al. 2024

  • Awareness of AI limitations can motivate users to adopt verification practices as a way of managing uncertainty, rather than disengaging from AI systems altogether (Sison et al., 2024).

    “This pattern is consistent with Sison et al. (2024), who argue that awareness of AI limitations can motivate users to adopt verification practices as a way of managing uncertainty, rather than disengaging from AI systems altogether.”

    From Bridging risk and retention: risk coping with privacy and hallucination in AI (2026) · cites this paper as Sison et al. (2024)

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Authors
Sison, A. J. G., Daza, M. T., Gozalo-Brizuela, R., & Garrido-Merchán, E. C.
Affiliations
  • School of Economics and Business Administration, Institute of Data Science and Artificial Intelligence (DATAI), Universidad de Navarra
  • Universidad de Guadalajara (MX)
  • Universidad Pontificia Comillas (ES)
  • Quantitative Methods Department, Universidad Pontificia Comillas
Corresponding author
Daza, Marco Tulio
Venue
International Journal of Human–Computer Interaction
Published
2023-06-27
Volume
40
Issue
17
Pages
4853-4872
ISSN
  • 1044-7318 (ISSN-L)
  • 1532-7590
OpenAlex
W4382249028
Cited by
169
References
56
Citations by year
2026: 41 · 2025: 60 · 2024: 53 · 2023: 15
FWCI
42.32
Type
journal article
Language
en
Open access
Locations
  • International Journal of Human-Computer Interaction (publishedVersion)
  • SSRN Electronic Journal (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
ChatGPT, generative AI ethics, human-centered AI, AI deception, watermarking, AI detection, fact-checking, trustworthy AI, human agency, human well-being, human-in-the-loop, artificial intelligence in education, transparency, terms of use

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