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Deepfakes and students' deep learning: A harmonious pair in science?

作者信息

Erduran Sibel

机构信息

Department of Education, University of Oxford, Oxford, UK.

出版信息

Science. 2024 Aug 30;385(6712):eadr8354. doi: 10.1126/science.adr8354. Epub 2024 Aug 29.

DOI:10.1126/science.adr8354
PMID:39208085
Abstract

"Deepfakes" refers to the use of digital technology, particularly artificial intelligence, to fabricate media-typically videos but also images and audio-that appear to be real. For example, a person's face can be superimposed onto another's body, creating a realistic image that can be difficult to distinguish from an image of the real person. Deepfakes have the potential to create misleading and harmful content, posing major challenges for science and society. What are these challenges? What do they imply for science education? Are there opportunities as well as challenges about deepfakes that the scientific community can harness for a positive impact on science and education?

摘要

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