Immutable watermarking for authenticating and verifying ai-generated output

Abstract

Embodiments are directed to immutable watermarking for authenticating and verifying artificial intelligence (AI)-generated output. An embodiment of a system includes a processor of a monitoring system, wherein the processor is to: receive first content from a first device and second content from a second device, wherein the first content comprises output of inferences of a machine learning (ML) model as applied to captured content at the first device; extracting, from a digital signature corresponding to the first content, a global unique identifier (GUID) of the ML model that generated the first content; verify the extracted GUID against data obtained from a shared registry, the data comprising identifying information of the ML model including the GUID; in response to successfully verifying the extracted GUID, provide the first content for consumption at an application and indicate that the content is generated by the ML model having verified authenticity.