Hidden traceability mechanism in AI-generated deepfake content to prevent misuse and enable lawful identification

Hello Google AI Team,

My name is Divyansh, and I am a Bachelor of Engineering student from Chandigarh University, India.

I would like to share a suggestion regarding the misuse of AI-generated deepfake videos and images, which are increasingly being used for harassment, misinformation, and non-consensual content.

My idea is to introduce a built-in traceability mechanism in AI systems that generate deepfake or synthetic media. Whenever such content is created, the system could embed a hidden and encrypted identifier (for example, a unique internal reference or IP-linked hash). This identifier would not be visible to users or the public, but could be accessed by authorized authorities if the content is misused or involved in legal investigation.

This approach could help trace the origin of harmful deepfake content while still respecting user privacy and preventing public exposure of personal data. I believe this could act as a deterrent against malicious use of AI-generated media and align with responsible AI principles.

I understand that there are technical, ethical, and privacy challenges involved, but I believe this idea may be worth exploring given the rapid rise in deepfake-related abuse.

Thank you for your time and consideration.

Kind regards,

Divyansh

Bachelor of Engineering Student

Chandigarh University, India