The growing wave of content generated by artificial intelligence is forcing creators to confront an uncomfortable reality. Viewers can no longer easily tell what is and isn’t made by humans.
The phrase “this looks like AI” is becoming increasingly common online. This indicates that users are suspicious of technology, as generation tools create text, image, audio, and video content that resembles human-created works.
In response, some creators and industry players are now calling for new solutions consisting of labels that certify that content is artificially created.
This idea is gaining traction. Instagram chief Adam Mosseri suggested that authentic content verification could prove more effective than AI detection, as current technological advances make it difficult to identify artificial intelligence content.
This concept mirrors well-known certification systems such as the ‘Fairtrade’ and ‘Organic’ labels, giving viewers an easy way to identify content created by real people. For many creators, the motivation is clear. They want to separate their work from the increasing competition created by the automated systems that dominate the digital realm.
However, building reliable systems has proven difficult.
An existing standard known as C2PA was designed to provide content credentials and verify origin. Despite support from big tech companies, the impact has been limited, in part because some creators and platforms have little incentive to disclose their AI involvement.
Since there is no universal standard, a variety of alternatives have emerged. Projects like Not by AI, Proudly Human, and Made by Human seek to authenticate different forms of content, from writing and art to video and music.
However, these solutions face a common problem: reliability. Some companies rely on self-reporting, while others use manual verification or AI detection tools, which are often unreliable. Proving that something is entirely human-made often requires a labor-intensive process of reviewing drafts, sketches, and creative workflows.
The definition of man-made is becoming increasingly complex as its boundaries become difficult to establish. The use of AI tools in standard creative software has created a situation where designers cannot distinguish between human input and machine assistance.
Experts predict that we have reached a new era of hybrid content creation that combines human artistic development with the support of machine learning.
The transition from one system to another, which requires examining all original works and their authentic components, raises three essential problems that require solutions. The first question arises when creators use AI tools to develop ideas, but create all their work by hand. The second question requires the development of methods to prove such results.
Some emerging solutions are turning to blockchain technology to address these concerns, offering digital certificates to track and verify creators’ work history. Proponents argue that the system provides a better way to establish trust because it creates a more secure and open verification process.
