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- Publisher Website: 10.3390/risks11070115
- Scopus: eid_2-s2.0-85166431950
- WOS: WOS:001036593500001
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Article: Correlation pitfalls with ChatGPT: Would you fall for them?
Title | Correlation pitfalls with ChatGPT: Would you fall for them? |
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Authors | |
Keywords | ChatGPT correlation dependence pitfalls |
Issue Date | 21-Jun-2023 |
Publisher | MDPI |
Citation | Risks, 2023, v. 11, n. 7 How to Cite? |
Abstract | This paper presents an intellectual exchange with ChatGPT, an artificial intelligence chatbot, about correlation pitfalls in risk management. The exchange takes place in the form of a conversation that provides ChatGPT with context. The purpose of this conversation is to evaluate ChatGPT’s understanding of correlation pitfalls, to offer readers an engaging alternative for learning about them, but also to identify related risks. Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical rigor needed to avoid certain pitfalls or completely comprehend the underlying concepts. Nonetheless, we suggest ways in which ChatGPT can be utilized to enhance one’s own learning process. |
Persistent Identifier | http://hdl.handle.net/10722/330988 |
ISSN | 2023 Impact Factor: 2.0 2023 SCImago Journal Rankings: 0.403 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hofert, M | - |
dc.date.accessioned | 2023-09-21T06:51:47Z | - |
dc.date.available | 2023-09-21T06:51:47Z | - |
dc.date.issued | 2023-06-21 | - |
dc.identifier.citation | Risks, 2023, v. 11, n. 7 | - |
dc.identifier.issn | 2227-9091 | - |
dc.identifier.uri | http://hdl.handle.net/10722/330988 | - |
dc.description.abstract | <p>This paper presents an intellectual exchange with ChatGPT, an artificial intelligence chatbot, about correlation pitfalls in risk management. The exchange takes place in the form of a conversation that provides ChatGPT with context. The purpose of this conversation is to evaluate ChatGPT’s understanding of correlation pitfalls, to offer readers an engaging alternative for learning about them, but also to identify related risks. Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical rigor needed to avoid certain pitfalls or completely comprehend the underlying concepts. Nonetheless, we suggest ways in which ChatGPT can be utilized to enhance one’s own learning process.</p> | - |
dc.language | eng | - |
dc.publisher | MDPI | - |
dc.relation.ispartof | Risks | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | ChatGPT | - |
dc.subject | correlation | - |
dc.subject | dependence | - |
dc.subject | pitfalls | - |
dc.title | Correlation pitfalls with ChatGPT: Would you fall for them? | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/risks11070115 | - |
dc.identifier.scopus | eid_2-s2.0-85166431950 | - |
dc.identifier.volume | 11 | - |
dc.identifier.issue | 7 | - |
dc.identifier.eissn | 2227-9091 | - |
dc.identifier.isi | WOS:001036593500001 | - |
dc.identifier.issnl | 2227-9091 | - |