View in EDS

Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research.

Saved in:
Bibliographic Details
Title: Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research.
Authors: Sedaghat, Sam1 (AUTHOR) samsedaghat1@gmail.com
Source: Journal of Academic Ethics. Mar2025, Vol. 23 Issue 1, p185-188. 4p.
Subject Terms: *Generative artificial intelligence, *Copyright, *Reference sources, ChatGPT, Chatbots
Abstract: Chatbots such as ChatGPT have the potential to change researchers' lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors' credibility could be tarnished if wrong content is presented in medical research. Additionally, ChatGPT, as the currently most popular generative AI, does not routinely present references for its answers. Double-checking references and resources used by chatbots might be challenging. Researchers must also be careful not to harm copyright law or cause plagiarism issues using applications such as ChatGPT. Chatbots are trained on publicly available sources on the internet, increasing the risk of copyright or plagiarism issues. Therefore, chatbots such as ChatGPT should not be used routinely for professional medical research for now. However, further developments could make chatbots usable in medical research in the near future. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Academic Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
  Availability: 0
Header DbId: ehh
DbLabel: Education Research Complete
An: 183640809
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sedaghat%2C+Sam%22">Sedaghat, Sam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> samsedaghat1@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Academic+Ethics%22">Journal of Academic Ethics</searchLink>. Mar2025, Vol. 23 Issue 1, p185-188. 4p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Copyright%22">Copyright</searchLink><br />*<searchLink fieldCode="DE" term="%22Reference+sources%22">Reference sources</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Chatbots such as ChatGPT have the potential to change researchers' lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors' credibility could be tarnished if wrong content is presented in medical research. Additionally, ChatGPT, as the currently most popular generative AI, does not routinely present references for its answers. Double-checking references and resources used by chatbots might be challenging. Researchers must also be careful not to harm copyright law or cause plagiarism issues using applications such as ChatGPT. Chatbots are trained on publicly available sources on the internet, increasing the risk of copyright or plagiarism issues. Therefore, chatbots such as ChatGPT should not be used routinely for professional medical research for now. However, further developments could make chatbots usable in medical research in the near future. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Academic Ethics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=183640809
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10805-024-09533-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 185
    Subjects:
      – SubjectFull: Generative artificial intelligence
        Type: general
      – SubjectFull: Copyright
        Type: general
      – SubjectFull: Reference sources
        Type: general
      – SubjectFull: ChatGPT
        Type: general
      – SubjectFull: Chatbots
        Type: general
    Titles:
      – TitleFull: Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sedaghat, Sam
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 15701727
          Numbering:
            – Type: volume
              Value: 23
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Academic Ethics
              Type: main
ResultId 1