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Deepfakes and students' deep learning: A harmonious pair in science?
1Department of Education, University of Oxford, Oxford, UK. sibel.erduran@education.ox.ac.uk.
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?
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