Image-Based Abuse vs Deepfakes: Understanding the Discovery Differences

Non-consensual intimate image abuse takes two forms that require distinct discovery methods: image-based abuse (authentic intimate photographs or videos shared without consent) and deepfake abuse (AI-generated intimate content created without consent). While both require attention, the practical differences in how to find your image and document evidence mean that dealing with each requires different approaches.

Authentic image-based abuse: discovery methods

Authentic NCII can be discovered through reverse image search when the original image was voluntarily taken or shared. You have an original to search against. Evidence is straightforward: the image is real, demonstrably of you, and demonstrably shared without consent. The principal challenge is finding all distribution points.

Deepfake-specific discovery challenges

Deepfakes cannot be discovered through reverse image search. There is no original to match. Biometric face scanning is required. Discovery challenges include: demonstrating the content is of you (biometric analysis) and demonstrating it was created and distributed without consent (the creation act may be anonymous and traceable only through investigation).

How discovery frameworks help

A unified discovery approach avoids the need to prove authenticity in the context of identifying potential exposures. A victim does not need to prove an image is AI-generated or authentic. They only need to identify it and assert their findings. Platforms cannot require victims to prove a deepfake is synthetic before processing a discovery request.