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deep Fake

DEEP FAKE technology

Amid serious concerns over ‘deep fake ‘ videos, the government is all set to meet social media platforms on the issue, with IT minister Ashwini Vaishnaw on Saturday asserting that the safe harbor immunity clause will not apply if platforms do not take adequate steps to remove deepfakes.



DEEP FAKES are synthetic media that use AI to manipulate or generate visual and audio content , usually with the intention of deceiving or misleading someone.

DEEPFAKE creation:

  • Deep fakes are created using a technique called generative adversarial networks (GAN) , which involve two competing neural networks: a generator and a discriminator.
  • The generator tries to create fake images or videos that look realistic, while the discriminator tries to distinguish between the real and the fake ones.
  • The generator learns from the feedback of the discriminator and improves its output until it can fool the discriminator.
  • Deepfakes require a large amount of data synthesis, which uses technologies including deep learning and augmented reality, to generate text, images, audio, and video to create virtual scenes.POSITIVE APPLICATIONS OF DEEP FAKES
    • Deep learning technology has enabled positive achievements, such as restoring lost voices and recreating historical figures.
    • Deep learning techniques have been applied in comedy, cinema, music, and gaming to enhance artistic expression.
    • Synthetic avatars of people with physical or mental disabilities will help express themselves online.
    • It enhances medical training and simulation by generating diverse and realistic medical images. It also creates virtual patients and scenarios for simulating medical conditions and procedures, improving training efficiency.
    • It can also be used to enhance the interaction and immersion of augmented reality (AR) and gaming applications.



    • Deepfakes are a problem because they can be used for various malicious purposes, such as
    1. Spreading propaganda, and fake news;
    2. Influencing elections and public opinion
    3. Blackmailing and extortion of individuals or organizations ;
    4. Damaging the reputation and credibility of celebrities, politicians, activists, journalists and
    5. Creating non-consensual pornography and revenge porn.
      • Deep fakes can cause various harms, such as eroding trust in institutions, media, and democracy, and undermining the rule of law and human rights.
      • Deep fake technology can violate the privacy, dignity, and reputation of individuals and harm the mental health and well-being of the victims, especially women, who are often the targets of such malicious manipulation.


      • Look for visual and audio inconsistencies in the media.
      • Use reverse image search to find the original source or similar images.
      • Use AI–based tools to analyze the quality, consistency, and authenticity, of the images or videos.
      • Using digital watermarking or blockchain to verify the source and integrity of the media.
      • Educate oneself and others about deepfake technology and its implications.

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