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    Deepfakes

    Posted 17 Jun 2025

    Updated 27 Jun 2025

    4 min read

    Why in the News?

    Recently, the US enacted Take It Down Act" to tackle harmful deepfakes online.

    What are Deepfakes?

    • About: Deepfake is a video, photo, or audio recording that seems real but has been manipulated with AI blurring the line between reality and manipulation
    • Technology: deep learning techniques are used for making such videos
      • Deep learning represents a subset of machine learning which are themselves a subset of artificial intelligence. 
      • It involves replacing faces, manipulating facial expressions, synthesising speech, appearing to say or do things not actually done. 
    • Potential Applications: 
      • Entertainment (creative effect in movies);
      • E-commerce (creating customers likenesses for virtual trial of clothes); 
      • Communication (Speech synthesis for speaking in another language), etc. 
    • Regulation:
      • India: India lacks specific laws for deepfakes and AI-related crimes, but provisions under some existing legislations offers both civil and criminal relief. 
      • Global:
        • EU's Artificial Intelligence Act (AI Act), is designed to foster trustworthy AI.
        • Italy: Both the Italian Constitution and the Civil Code prohibits the unauthorised use of a person's likeness.
        • 23 states of USA have passed legislation addressing deepfakes (as of September, 2024). Similar legislations in other countries are:
    An image showing details of technologies involved in Deepfakes.

    Concerns associated with Deepfakes

    • National Security Risk: Fake videos may spark violence, disrupt investigations, or create false alibis.
    • Erodes Trust in Democracy: Fake political content can mislead the public and harm democratic processes.
    • Victimising Women: Approximately 90-95% of deepfake videos since 2018 were primarily based on non-consensual pornography.
    • Cyberbullying: Rumours can spread faster when coupled with fake images or videos impacting a person's reputation. 
    • Identity Theft: Creating fake identification documents, causing cybercriminals to impersonate individuals or gain access to secure systems. 
    • Lack of Awareness: Even when a deepfake video is detected it would be ineffective in containing misinformation due to lack of awareness among people. 
    • Costly Computation: Huge investment is needed to tackle vast datasets and employ advanced computation resources, especially for detecting videos vis-à-vis images.

    Initiatives that tackle Deepfakes in India

    • Information Technology Act, 2000 (IT Act): Applicable to information generated using Artificial Intelligence (AI) tools. 
    • Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 (IT Rules, 2021): Address various emerging issues on the cyberspace.
      • Provides for Grievance Appellate Committees allowing users and victims to appeal online.

    Institutional

    • Indian Computer Emergency Response Team (CERT-In): Published an advisory on deepfake threats and suggests measures to stay protected. 
      • Operates the Cyber Swachhta Kendra (Botnet Cleaning and Malware Analysis Centre). 
      • Provides leadership for Computer Security Incident Response Team-Finance Sector (CSIRT-Fin). 
    • Indian Cyber Crime Coordination Centre (I4C): Deals with cyber-crimes in a comprehensive and coordinated manner.
    • National Cyber Crime Reporting Portal: Operationalised a toll free Helpline number 1930.  

    Way Forward on dealing with the issues of Deepfakes

    • Enhanced Regulation: Create a well-defined legal framework based on real-world harms caused by AI.  Focus on proactive action, not just post-incident responses. Current Indian IT Rules only act after harm is done. Victims bear the burden of filing complaints—this needs reform.
    • Build Strong Institutions: Set up agencies with clear safety standards to protect people and reduce misuse.
    • Technological Advancements: Sophisticated algorithms, including new methods that can identify deepfakes based on their context, metadata or other factors.
      • E.g., Massachusetts Institute of Technology (MIT) created a Detect Fakes website to help people identify deepfakes by focusing on small intricate details.
    • Cyber Literacy: Promote media literacy and critical thinking incorporating digital trust to protect all stakeholders' interests and uphold societal expectations and values. 
    • Stakeholders' Collaboration: Introduce clear procedural guidelines and effective penalties by incorporating suggestions from all stakeholders, like law enforcement, judicial authorities, etc. 
    • Tags :
    • Deepfakes
    • GANs
    • CERT-In
    • IT Act
    • CSIRT-Fin
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