Deepfakes at 98% Accuracy: Can Trust Be Saved?

The digital world has entered an era where seeing is no longer believing. AI-powered deepfakes have reached a level of sophistication that makes even everyday images and videos feel questionable. What began as harmless fun now threatens to erode one of the most fundamental elements of the internet, ‘trust’.

Yet here is the paradox: AI is both the disruptor and the defender. Detection models are already achieving 98% accuracy in spotting manipulated content. Around the world, regulators are also taking notice:

• In the U.S., the ‘Take It Down Act’ criminalizes harmful deepfakes.

• The ‘EU’s Digital Services Act’ enforces greater transparency.

• In India, updated ‘IT Rules’ hold platforms accountable for misuse.

• Even the United Nations has urged platforms to adopt watermarking and verification to restore confidence.

The question is whether these preventive measures will move quickly enough. AI continues to evolve at an extraordinary pace, while regulation and enforcement often lag behind. If misinformation becomes the default, even the strongest tools may struggle to restore what has already been lost.

We as an organization, believe rebuilding digital trust will require more than technology alone. It demands alignment between innovators, regulators, and platforms each playing their role in creating a more authentic digital environment. AI can be part of the solution, but only when guided by responsibility and transparency.

The challenge is clear, but so is the opportunity: to design a future where authenticity isn’t an afterthought, but the foundation.