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Title:
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METHODS FOR GENERATING CLUES TO MAKE NOVICES EXPERIENCE IN CHECKING RISKY FACTORS IN AI-GENERATED DOCUMENTS |
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Author(s):
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Shogo Uchida, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga,
Youzou Miyadera and Shoichi Nakamura |
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ISBN:
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978-989-8704-62 |
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Editors:
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Paula Miranda and Pedro IsaĆas |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Generative AI, Training of Skills for Using AI, Risky Factors in AI-Generated Documents, IT Literacy |
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Type:
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Full |
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First Page:
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335 |
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Last Page:
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341 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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With rapid spread of generative AI, there has increasingly been a strong need to train skills for properly using generative
AI. Generative AI has the advantage of using a wide variety of information on the Internet as sources to form outputs.
However, there is also a risk that AI-generated documents may contain statement of uncertain authenticity and unclear
origins. Although users should pay attention to and verify these dangerous factors on their own, such confirmation is
difficult for the inexperienced. In this research, we were aiming at developing methods for generating clues for exercises
in which inexperienced users proactively check dangerous factors in AI-generated documents. Consequently, we present a
new approach for developing appropriate utilization skills of Generative AI. In this paper, we mainly outline methods of
generating the clues for making students check dangerous factors in AI-generated documents by themselves. We also
describe an experiment on estimation of risky factors and discuss the fundamental effectiveness of the proposed methods. |
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