As a mid-career digital artist, I have been deeply terrified and fascinated by AIGC. Terrified of its potential 'dimensionality reduction strike' that could sweep everything away, and fascinated by the creative superpowers it grants someone with a technical background like mine. But soon, I found myself trapped in the common dilemma faced by all AIGC creators: who owns the copyright to this cyberpunk artwork I generated? Is it the platform providing the model, the person who wrote the prompt, or the thousands of training images fed to the model that the original authors may know nothing about? More practically, when someone wants to purchase it for commercial cover use, how can I safely transact and ensure that I receive royalties every time it is used in the future?
The current AIGC ecosystem is a 'digital tenant farmer' system with blurred rights, fragmented value, and severe platform extraction. KITE, in my view, is attempting to rebuild order and fairness in this chaotic field with blockchain and cryptography. What it aims to do is transform AIGC works from rootless 'digital weeds' into owned, traceable, and automatically yielding 'digital assets'.
Step 1: Penetrate the black box to achieve 'verifiable creative traceability'
The core of copyright issues lies in the fact that the generation process of AIGC is a black box. KITE's solution is to introduce 'zero-knowledge proofs + on-chain evidencing'.
When I create using an AI model integrated into the KITE ecosystem, the entire generation process can produce a concise, verifiable proof (ZK Proof). This proof does not disclose the original prompt and the model's private parameters but can confirm to the entire network: 'This work was indeed generated by a verified model at a certain point in time, based on a specific initial random seed provided by the user.' This proof, along with the work's hash and my creator signature, is permanently recorded on the KITE chain. This is equivalent to giving the work an unforgeable 'digital birth certificate', clearly anchoring the creator, generation time, and tools used, providing a technological basis for copyright claims.
Step 2: Define rights to achieve 'programmable value distribution'
After establishing rights, the more important aspect is profit sharing. The value of an AIGC work may come from multiple contributors: the company providing the foundational large model, community developers fine-tuning specific styles, artists providing high-quality training data, and the final creator who generates it.
KITE's 'programmable smart contracts' and 'attribution proofs' make complex rights distribution possible. When a work is minted as an on-chain asset (such as an NFT or SFT), the creator can preset a profit-sharing rule. For example: 'For every transaction in the secondary market, 10% of the sale price goes to me (the creator), 2% to the developer of the specific style model used, and 1% to the underlying large model protocol.' These rules are written into the asset itself. In the future, no matter where this work flows, every transaction occurring on the KITE network will automatically split the income according to this initial 'constitution', and settle in real-time to all parties through micropayments. This truly realizes 'Code is Law', perfectly executing the concept of 'resale rights' in copyright law in the form of code.
Step 3: Activate the market to achieve 'granular capability trading'
KITE's revolution in AIGC goes beyond product trading; it is also about the modularization and commercialization of the creative process.
· Model as a Service: A developer can package their fine-tuned model of traditional landscape painting into an AI service module and list it in the Kite Agent app store. Any creator who wants to use it can pay a very low fee per use, without needing to purchase an expensive complete model.
· Assetization of Prompts and Workflows: A complex prompt that can generate exceptional effects, or a complete generation workflow containing multiple steps of ControlNet, can itself be minted into a tradeable NFT. Other creators can purchase and directly use it, or adapt it based on it, with the original creator continuously receiving a share.
· Rights establishment and trading of datasets: This is precisely where data modules like Codatta within the ecosystem come into play. Artists can safely provide their unique copyrighted artwork collections as training data on Codatta. AI model developers pay to use this data to train models, while artists can continuously earn a share from all future generation income of that model.
In this way, KITE is building a value network for AIGC that respects the intellectual contributions at every stage. Here, large model platforms, data providers, model fine-tuners, prompt engineers, and final creators form a positive-sum game ecosystem based on transparent rules. Creation is no longer a one-time consumption but an asset creation process that can continuously generate revenue. This may fundamentally change the production relations of AIGC, transforming it from a threat that could stifle originality into a revitalization engine that incentivizes global creative collaboration and ensures fair returns for every small contribution. For creators like me, this is no longer just a revolution of tools, but a restoration of rights.
