The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Holy or Unholy? Interview with Open AI’s ChatGPT
Open accessAbstract
In this paper, OpenAI's ChatGPT (Generative Pre-trained Transformer), also known as GPT-3, a machine-learning model that has the ability to generate human-like text, was employed as an interviewee instead of a human subject. The scope of the interview was the impacts of OpenAI's GPT on higher education and academic publishing. Particularly, several questions about the impacts of OpenAI's ChatGPT and other AI-based machine learning models on the hospitality and tourism industry and education were asked. The originality of this paper derives from having the ChatGPT as an interviewee. ChatGPT stated that its use helps instructors delegate monotonous tasks such as grading and focus on more intellectual tasks, and students may utilize ChatGPT to brainstorm ideas. ChatGPT confesses the risk of diminishing critical thinking for students in the case of over-reliance on ChatGPT as well as educational inequalities. For academic work, ChatGPT addressed it cannot be a substitute for human creativity and intellectuality because originality and novelty lack in outputs generated by ChatGPT. The tourism and hospitality industry can benefit from ChatGPT for certain things such as personalized services, content creation, and many more.
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“For instance, previous works in artificial intelligence (AI) show the possibility of interviewing ChatGPT for information elicitation or obtaining insights into diverse research topics [42-45].”
From Using Generative Artificial Intelligence Tools to Explain and Enhance Experiential Learning for Authentic Assessment (2024) · cites this paper as [43]
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Metadata
- Authors
- Iskender, A.
- Venue
- European Journal of Tourism Research
- Publisher
- Varna University of Management
- Published
- 2023-03-14
- Volume
- 34
- Pages
- 3414
- ISSN
- 1314-0817 (ISSN-L)
- 1994-7658
- OpenAlex
- W4327624031
- Cited by
- 260
- References
- 15
- Citations by year
- 2026: 34 · 2025: 67 · 2024: 103 · 2023: 56
- FWCI
- 61.02
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- European Journal of Tourism Research (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, GPT-3, large language models, artificial intelligence in higher education, scholarly publishing, automated grading, critical thinking, educational inequality, personalized services
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 ›
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