- During the 2024 General Elections, the emergence of AI-generated content (AIGC), notably deepfake films starring celebrities like as Aamir Khan and Ranveer Singh, sparked worries about misrepresentation.
What is Deepfake technology?
- It is a sort of artificial intelligence that generates convincing pictures, audio, and video hoaxes. Deepfakes frequently change existing source content by swapping one person for another.
- Such material is created using a technology known as Generative Adversarial Networks (GANs), which consists of Artificial Neural Networks.
Significance of Deepfake Technology:
- Deepfake technology promotes the right to expression by amplifying marginalised voices and sharing essential ideas. Recently, a film was prepared to relay the dying message of a journalist assassinated by the Saudi government, urging justice.
- Can help the education system: Online educators employ deepfakes to bring historical personalities to life in interesting courses. For example, a video of Abraham Lincoln’s Gettysburg address.
- Deepfakes give people control over their digital identities and allow them to experiment with new ways of expressing themselves. For example, consider the Reface app.
- Provides a realistic experience: Artists employ deepfakes for creative expression and cooperation, as demonstrated in Salvador Dali’s interactive museum advertising. Deepfake technology offers accurate lip-syncing for performers speaking several languages, increasing worldwide accessibility and immersion in films.
- Deepfakes help to restore outdated images, improve low-quality film, and create realistic training materials for public safety.
What are the limitations of deepfake technology?
- Spreading False Information: Deepfakes might actively distribute disinformation in order to influence public opinion or elections, much as films of politicians or celebrities can sway viewers and cause misunderstanding about key matters.
- Fraud: Deepfake technology facilitates financial fraud by impersonating people and deceiving them into disclosing critical information. They can also promote harassment, particularly against women, and cause psychological suffering.
- Accuracy: While no AI detector promises 100% accuracy, technologies like Originality.ai have a 99% true positive rate. Detection models provide probability ratings, allowing for more sophisticated evaluations despite underlying uncertainty.
Future Scope:
- Adversarial AI: Keeping up with increasing generative AI models is a key problem for content detectors.
- Accessibility and Cost: As detection tools become more widely used and advanced, they are likely to become more accessible and affordable.
Source: https://www.techtarget.com/searchsecurity/tip/How-to-detect-deepfakes-manually-and-using-AI#:~:text=But%20AI%20can%20also%20be,deepfake%20images%2C%20video%20and%20audio.