Exploring deepfake technology: creation, consequences and countermeasures

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Publicado no:Human-Intelligent Systems Integration vol. 6, no. 1 (Dec 2024), p. 49
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Springer Nature B.V.
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022 |a 2524-4876 
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024 7 |a 10.1007/s42454-024-00054-8  |2 doi 
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045 2 |b d20241201  |b d20241231 
245 1 |a Exploring deepfake technology: creation, consequences and countermeasures 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a This paper presents a comprehensive examination of deepfakes, exploring their creation, production and identification. Deepfakes are videos, images or audio that are remarkably realistic and generated using artificial intelligence algorithms. While they were initially intended for entertainment and commercial use, their harmful social consequences have become more evident over time. These technologies are now being misapplied for the creation of explicit content, coercing individuals and disseminating false information, resulting in an erosion of and potentially negative societal consequences. The paper also highlights the significance of legal regulations in controlling the utilization of deepfakes and investigates methods for their identification through machine learning. In the modern digital world, comprehending the ethical and legal implications of deepfakes necessitates a thorough understanding of the phenomenon. 
653 |a Digital imaging 
653 |a Software 
653 |a Artificial intelligence 
653 |a Deepfake 
653 |a Datasets 
653 |a Video recordings 
653 |a Neural networks 
653 |a Deception 
653 |a Algorithms 
653 |a Information processing 
653 |a Audio data 
653 |a Machine learning 
653 |a Counterfeiting 
653 |a Erosion control 
773 0 |t Human-Intelligent Systems Integration  |g vol. 6, no. 1 (Dec 2024), p. 49 
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