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ChatGPT: five priorities for research
by
Zuidema, Willem
, Bockting, Claudi L.
, van Dis, Eva A. M.
, Bollen, Johan
, van Rooij, Robert
in
631/114/1305
/ 639/705/117
/ 706/648/479
/ 706/648/496
/ Artificial intelligence
/ Authorship
/ Automation
/ Bias
/ Chatbots
/ Comment
/ Conversational artificial intelligence
/ Humanities and Social Sciences
/ Machine learning
/ Machine Learning - trends
/ multidisciplinary
/ Plagiarism
/ Research - standards
/ Research - trends
/ Researchers
/ Science
/ Search engines
/ Writing - standards
2023
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ChatGPT: five priorities for research
by
Zuidema, Willem
, Bockting, Claudi L.
, van Dis, Eva A. M.
, Bollen, Johan
, van Rooij, Robert
in
631/114/1305
/ 639/705/117
/ 706/648/479
/ 706/648/496
/ Artificial intelligence
/ Authorship
/ Automation
/ Bias
/ Chatbots
/ Comment
/ Conversational artificial intelligence
/ Humanities and Social Sciences
/ Machine learning
/ Machine Learning - trends
/ multidisciplinary
/ Plagiarism
/ Research - standards
/ Research - trends
/ Researchers
/ Science
/ Search engines
/ Writing - standards
2023
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Do you wish to request the book?
ChatGPT: five priorities for research
by
Zuidema, Willem
, Bockting, Claudi L.
, van Dis, Eva A. M.
, Bollen, Johan
, van Rooij, Robert
in
631/114/1305
/ 639/705/117
/ 706/648/479
/ 706/648/496
/ Artificial intelligence
/ Authorship
/ Automation
/ Bias
/ Chatbots
/ Comment
/ Conversational artificial intelligence
/ Humanities and Social Sciences
/ Machine learning
/ Machine Learning - trends
/ multidisciplinary
/ Plagiarism
/ Research - standards
/ Research - trends
/ Researchers
/ Science
/ Search engines
/ Writing - standards
2023
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Journal Article
ChatGPT: five priorities for research
2023
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Overview
Conversational AI is a game-changer for science. Since a chatbot called ChatGPT was released late last year, it has become apparent that this type of artificial intelligence (AI) technology will have huge implications on the way in which researchers work. ChatGPT is a large language model (LLM), a machine-learning system that autonomously learns from data and can produce sophisticated and seemingly intelligent writing after training on a massive data set of text. To prevent human automation bias - an over-reliance on automated systems - it will become even more crucial to emphasize the importance of accountability8. In the future, LLMs are likely to be incorporated into text processing and editing tools, search engines and programming tools. [...]they might contribute to scientific work without authors necessarily being aware of the nature or magnitude of the contributions.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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