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Artificial intelligence in scientific writing: opportunities and ethical considerations
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References

  • 2023Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation795 cited
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  • 2020In AI We Trust: Ethics, Artificial Intelligence, and Reliability598 cited
  • 2023Using AI to write scholarly publications285 cited
  • 2023The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts264 cited
  • 2023ChatGPT and other artificial intelligence applications speed up scientific writing240 cited
  • 2021scite: A smart citation index that displays the context of citations and classifies their intent using deep learning158 cited
  • 2023Rising adoption of artificial intelligence in scientific publishing: evaluating the role, risks, and ethical implications in paper drafting and review process141 cited
  • 2023Guidance for Authors, Peer Reviewers, and Editors on Use of AI, Language Models, and Chatbots141 cited
  • 2023Chatbots, generative AI, and scholarly manuscripts130 cited
  • 2024Research integrity in the era of artificial intelligence: Challenges and responses108 cited
  • 2023Artificial Intelligence (AI) Trust Framework and Maturity Model: Applying an Entropy Lens to Improve Security, Privacy, and Ethical AI103 cited
  • 2022“Please understand we cannot provide further information”: evaluating content and transparency of GDPR-mandated AI disclosures

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101 cited
  • 2021Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world82 cited
  • 2023A Systematic Literature Review on the Applications of Robots and Natural Language Processing in Education72 cited
  • 2020Proceduralizing control and discretion: Human oversight in artificial intelligence policy72 cited
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