The system is a unique certification methodology for data that serves two primary functions:
Ensuring the authenticity and responsibility of content through a unique hash based on a given identifier. Providing standardized AI interaction instructions through "pidgin" prompts. Key Features:
Unified Treatment of Content: The system does not distinguish between AI-generated and human-generated content, treating both equally in terms of authenticity and responsibility.
Unique Hash for Authentication: Every piece of data or content is given a unique identifier. A hash is then generated from this identifier, ensuring the content's integrity and authenticity.
Pidgin Prompt for AI Interaction: Alongside the authentication hash, the metadata associated with each piece of content will include a "pidgin" prompt. This prompt provides standardized instructions on how AI should interact with the content, acting as a universal AI protocol.
Built-in Responsibility: Regardless of whether content is generated by a human or an AI, there is a clear chain of responsibility. This ensures that problematic content can be traced back to its source, be it an individual, an organization, or an AI tool.
Motivation for Adoption: While watermarking and authentication alone might not be sufficient motivation for widespread adoption, the added value of the "pidgin" prompts provides an incentive. These prompts enhance the data by offering a standardized way for AI to interact with it, potentially simplifying integrations, data usage, and ensuring consistent AI behavior across varied data sources.
Goals:
Promote Authenticity & Responsibility: To create a system where every piece of content, regardless of its origin, is authenticated and has a clear, responsible entity associated with it.
Standardize AI Interactions: By introducing the "pidgin" prompts, the system aims to offer a standardized interaction model for AI, making diverse data sources more accessible and consistent for AI use.
Encourage Adoption: By providing added value beyond mere authentication, the system seeks to encourage widespread adoption among content creators and users. The "pidgin" prompt not only ensures consistent AI interactions but also offers a competitive edge to data marked with it.
Foster Trust in Digital Content: By ensuring traceability, authenticity, and clear responsibility, the system aims to enhance trust in digital content, whether it's generated by humans or AI.
Drive Ethical Content Creation & Usage: By having built-in responsibility mechanisms, the system aims to ensure that content creators, be it humans or AI tools, adhere to ethical and quality standards.