Cited by 476Ethics and Social Impacts of AIDigitalization, Law, and RegulationTechnology's Impact on Media

The Ethics of ChatGPT-Exploring the Ethical Issues of an Emerging Technology

Open access
Stahl, Bernd Carsten, Eke, Damian·2024·International Journal of Information Management

Abstract

This article explores ethical issues raised by generative conversational AI systems like ChatGPT. It applies established approaches for analysing ethics of emerging technologies to undertake a systematic review of possible benefits and concerns. The methodology combines ethical issues identified by Anticipatory Technology Ethics, Ethical Impact Assessment, and Ethical Issues of Emerging ICT Applications with AI-specific issues from the literature. These are applied to analyse ChatGPT's capabilities to produce humanlike text and interact seamlessly. The analysis finds ChatGPT could provide high-level societal and ethical benefits. However, it also raises significant ethical concerns across social justice, individual autonomy, cultural identity, and environmental issues. Key high-impact concerns include responsibility, inclusion, social cohesion, autonomy, safety, bias, accountability, and environmental impacts. While the current discourse focuses narrowly on specific issues such as authorship, this analysis systematically uncovers a broader, more balanced range of ethical issues worthy of attention. Findings are consistent with emerging research and industry priorities on ethics of generative AI. Implications include the need for diverse stakeholder engagement, considering benefits and risks holistically when developing applications, and multi-level policy interventions to promote positive outcomes. Overall, the analysis demonstrates that applying established ethics of technol…

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2023.102700

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The findings suggest a need for structured implementation frameworks that address challenges in data privacy, academic integrity, and assessment validity.

    “The findings suggest a need for structured implementation frameworks that address challenges in data privacy, academic integrity, and assessment validity (Stahl and Eke, 2024).”
  • It can be difficult to distinguish between human interventions and interventions by ChatGPT.

    “This becomes more urgent as Stahl and Eke (2024) point out a consequence where it can be difficult to distinguish between human interventions and interventions by ChatGPT.”

    From Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study (2025) · cites this paper as Stahl and Eke (2024)

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 74 · Cited by 476

Authors
Stahl, B. C., & Eke, D.
Affiliations
  • University of Nottingham (GB)
  • De Montfort University (GB)
Corresponding author
Stahl, Bernd Carsten
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2024-02
Volume
74
Pages
102700
ISSN
0268-4012 (ISSN-L)
OpenAlex
W4386580390
Cited by
476
References
74
Citations by year
2026: 108 · 2025: 187 · 2024: 167 · 2023: 14
FWCI
119.19
Type
journal article
Language
en
Open access
Locations
  • International Journal of Information Management (publishedVersion, cc-by)
  • Repository@Nottingham (University of Nottingham) (publishedVersion, other-oa)
  • DMU Open Research Archive (De Montfort University) (submittedVersion, cc-by)
Funders
  • European Commission (HORIZON2020, 945539)
  • Engineering and Physical Sciences Research Council (945539, EP/T022493/1)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Law › Digitalization, Law, and Regulation
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology's Impact on Media
Keywords
ChatGPT, generative AI, ethics of emerging technologies, AI ethics, social justice, individual autonomy, cultural identity, environmental impact of AI, algorithmic bias, accountability, authorship, social cohesion, AI safety, stakeholder engagement, AI policy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review