Deepfakes Technology Using Artificial Intelligence

Authors

  • Saiyad Mahmmad Akram Hanif MCA- Alumni 2021, Department of PIET- MCA, Parul University, Vadodara, India Author
  • Vivek Dave Assistant Professor, Department of PIET- MCA, Parul Institute of Engineering and Technology, Parul University, Vadodara, India Author

DOI:

https://doi.org/10.55524/

Keywords:

(Artificial Intelligence) AI, Deep Fake, Neural Network

Abstract

 In spite of the fact that controls of visual  and hear-able media are just about as old as media  themselves, the new entry of deepfakes has denoted a  defining moment in the formation of phony substance.  Fueled by the most recent mechanical advances in manmade reasoning and artificial intelligence (AI), deep fakes offer computerized methods to make counterfeit substance  that is increasingly hard for human spectators to recognize.  The prospects to hoodwink are unending including  controlled pictures, recordings, and sound and associations  should be ready as this will without a doubt have a huge  cultural effect. In this article, I will cover working meaning  of deepfakes along with an outline of its fundamental  innovation. We order distinctive deepfake types and  distinguish dangers and freedoms to assist associations with  pondering the eventual fate of deepfakes. At last, I trust that  our general public can be more ready to counter deepfakes  as we appreciate deepfakes. 

Downloads

Download data is not yet available.

References

K. W. Johnson et al., “Artificial Intelligence in Cardiology,” Journal of the American College of Cardiology. 2018. [2] H. Y. Chang et al., “Artificial intelligence in pathology,”

Journal of Pathology and Translational Medicine. 2019. [3] S. Thiebes, S. Lins, and A. Sunyaev, “Trustworthy artificial intelligence,” Electron. Mark., 2021.

H. Lu, Y. Li, M. Chen, H. Kim, and S. Serikawa, “Brain Intelligence: Go beyond Artificial Intelligence,” Mob. Networks Appl., 2018.

R. Toorajipour, V. Sohrabpour, A. Nazarpour, P. Oghazi, and M. Fischl, “Artificial intelligence in supply chain management: A systematic literature review,” J. Bus. Res., vol. 122, pp. 502–517, 2021.

Y. Park, D. Casey, I. Joshi, J. Zhu, and F. Cheng, “Emergence of New Disease: How Can Artificial Intelligence Help?,” Trends in Molecular Medicine. 2020.

S. J. Mohammad, A. K. Hamad, H. Borgi, P. A. Thu, M. S. Sial, and A. A. Alhadidi, “How artificial intelligence changes the future of accounting industry,” Int. J. Econ. Bus. Adm., 2020.

M. O. Riedl, “Human-centered artificial intelligence and machine learning,” Hum. Behav. Emerg. Technol., 2019. [9] S. Kot, H. I. Hussain, S. Bilan, M. Haseeb, and L. W. W. Mihardjo, “The role of artificial intelligence recruitment and quality to explain the phenomenon of employer reputation,” J. Bus. Econ. Manag., 2021.

S. Harrer, P. Shah, B. Antony, and J. Hu, “Artificial Intelligence for Clinical Trial Design,” Trends in Pharmacological Sciences. 2019.

G. Zhou, G. Chu, L. Li, and L. Meng, “The effect of artificial intelligence on China’s labor market,” China Econ. J., 2020. [12] A. 2018. Aldwairi, M., & Alwahedi, “Detecting Fake News in Social Media Networks. Procedia Computer Science, 141: 215–222.”

G. 2018 Cybenko, A. K., & Cybenko, . “AI and Fake News. IEEE Intelligent Systems, 33(5): 3–7.”

A. 2019. Wagner, T.L., & Blewer, “‘The Word Real Is No Longer Real’: Deepfakes, Gender, and the Challenges of AI Altered Video. Open Information Science, 3(1): 32–46.”

J. J. A. Sierra and Y. C. Ávila, “Application of artificial intelligence and blockchain in contract law,” Rev. Derecho Priv., 2020.

M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” Int. J. Manag. Educ., 2020. [17] S. Roy, A. Singh, and C. Choudhary, “Artificial Intelligence

in Healthcare,” in Lecture Notes in Networks and Systems, 2021.

P. Nemitz, “Constitutional democracy and technology in the age of artificial intelligence,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2018.

K. McGrow, “Artificial intelligence: Essentials for nursing,” Nursing (Lond)., 2019.

J. Roberge, M. Senneville, and K. Morin, “How to translate artificial intelligence? Myths and justifications in public discourse,” Big Data Soc., 2020.

G. Liang, W. Fan, H. Luo, and X. Zhu, “The emerging roles of artificial intelligence in cancer drug development and precision therapy,” Biomedicine and Pharmacotherapy. 2020.

E. Tjoa and C. Guan, “A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI,” IEEE Trans. Neural Networks Learn. Syst., 2021.

S. Bhaskar et al., “Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era,” Front. Public Heal., 2020.

G. Zeba, M. Dabić, M. Čičak, T. Daim, and H. Yalcin, “Technology mining: Artificial intelligence in manufacturing,” Technol. Forecast. Soc. Change, 2021.

C. R. Deig, A. Kanwar, and R. F. Thompson, “Artificial Intelligence in Radiation Oncology,” Hematology/Oncology Clinics of North America. 2019.

Downloads

Published

2022-03-30

Issue

Vol. 10 No. 2 (2022): International Journal of Innovative Research in Computer Science and Technology (Mar ) 2022

Section

Articles

How to Cite

Deepfakes Technology Using Artificial Intelligence . (2022). International Journal of Innovative Research in Computer Science & Technology, 10(2), 459–464. https://doi.org/10.55524/
Crossref
Scopus
Google Scholar
Europe PMC