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Mr.Sidharth Sharma
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Page No: 24 - 28
Abstract : Deep fakes, a technology enabling the creation of highly realistic fake images and videos through face-swapping, have sparked significant attention due to their potential for misuse. This paper explores the technologies behind deep fakes and categorizes them into four types: deep fake pornography, political campaigns, commercial uses, and creative content. The authors discuss the ethical and regulatory challenges associated with each category. Initially, deep fakes were used maliciously, such as in revenge porn and political manipulation, which led to widespread fear. However, like many technologies before it, deep fakes may eventually become more widely accepted. The paper also examines the role of online platforms and governments in addressing these issues and offers an optimistic view of how the democratization of AI might help resolve the ethical concerns surrounding deep fakes.
Keyword Deep fakes, face-swapping, ethical implications, political campaigns, commercial uses, AI democratization, online platforms, regulation.
Reference:
  1. Hunt, E. B. (2014). Artificial intelligence. Academic Press.
  2. Holmes, J., Sacchi, L., &Bellazzi, R. (2004). Artificial intelligence in medicine. Ann R Coll Surg Engl86, 334-8.
  3. Winston, P. H. (1992). Artificial intelligence. Addison-Wesley Longman Publishing Co., Inc..
  4. Winston, P. H. (1984). Artificial intelligence. Addison-Wesley Longman Publishing Co., Inc..
  5. Boden, M. A. (Ed.). (1996). Artificial intelligence. Elsevier.

Thepade, D. S., Mandal, P. R., & Jadhav, S. (2015). Performance Comparison of Novel Iris Recognition Techniques Using Partial Energies of Transformed Iris Images and EnegyCompactionWith Hybrid Wavelet Transforms. In Annual IEEE India Conference (INDICON).