Sparkonomy Launches Open Creator Graph to Put Creators in Control of How AI Uses Their Identity
Sparkonomy launches the Open Creator Graph to give creators control over how AI uses their identity, voice, and likeness through a machine-readable record.
In a major move to address the growing tension between artificial intelligence and digital content, Sparkonomy has launched the Open Creator Graph. This new initiative aims to provide creators worldwide with a permanent, machine-readable way to establish their identity and dictate exactly how AI systems can use their work, voice, and likeness.
The AI Misrepresentation Crisis
As AI systems continue to train on vast amounts of video, photos, and audio, many creators are finding themselves left out of the loop. Often, these systems use creator content without explicit consent and, even more critically, fail to attribute the work to the original creator. This lack of recognition directly impacts how creators are discovered and compensated in the digital economy.
To understand the scale of this issue, Sparkonomy conducted AMISS: The AI Misrepresentation Study. The study analyzed 10,000 creators globally, ranging from small accounts to those with over five million followers. The findings were startling:
- Only one out of 10,000 creators was described accurately by all five leading AI engines tested.
- 67% of creators received no accurate description from any of the AI engines.
- Even among mega-influencers with over five million followers, the accuracy rate dropped to just 37%.
The study utilized 50,000 queries across platforms like ChatGPT, Gemini, Grok, Muse, and Qwen to test how effectively they could identify creators using their handles and platform names.
A Solution for the Cross-Platform Identity Gap
Current solutions are often insufficient. While platforms may offer "opt-out" settings, these are frequently buried in menus and only apply to that specific platform. Because a creator's identity spans multiple ecosystems—including Instagram, YouTube, and TikTok—a rule set by one platform does nothing to protect them on another.
Furthermore, while governments in regions like the EU, US, and India are moving toward granting people rights over their digital identity, there has been a massive gap between legal theory and practical application. Laws grant rights on paper, but creators have lacked a standardized, universal way to declare those rights before a dispute arises.
"AI operates at machine scale. AI Consent still operates at human scale: manual, slow and expensive," said Guneet Singh, co-founder of Sparkonomy. "To close that gap, we built the Open Creator Graph, a free, public identity and consent record that every Creator worldwide can use, not just the famous ones."
How the Open Creator Graph Works
The Open Creator Graph, founded by three former Google executives, allows creators to claim a verified record by simply signing in with their existing accounts on platforms like X, TikTok, YouTube, or Instagram. This creates a single, cross-platform identity that machines can actually read.
Creators can set specific consent levels for every part of their identity—including their name, image, likeness, voice, movement, and signature:
- Allowed: Grants AI permission to use the identity for any purpose.
- Conditional: AI can use the identity to show the creator accurately (name, photo, voice), but any new generation, such as deepfakes or voice clones, requires explicit permission.
- Prohibited: No use permitted—the identity cannot be shown, trained upon, or generated.
If a creator has not yet set their terms, the record defaults to "unknown," which is not to be interpreted as permission.
Free, Scalable, and Machine-Readable
The platform is currently live with one million creator records already available to be claimed. Sparkonomy has emphasized that the service is entirely free, with no setup fees, no subscriptions, and no minimum follower requirements. To comply with emerging regulations like the EU AI Act, every record exists in a dual format: one for humans and a specialized version designed specifically for machine readability to ensure rights reservations are legally and technically enforceable.