Overview — AI Product Semantic Specification (AIPROD)
The AI Product Semantic Specification (AIPROD) defines the semantics and descriptive elements of an AI Product.
Whereas AIPDS explains how an AI Product is deployed, *AIPROD explains what an AI Product is.
Purpose of AIPROD
AIPROD provides a structured way to describe the identity, purpose, characteristics, and governance attributes of an AI Product.
It ensures that every AI Product can be:
- Self-describable → with rich metadata and semantic definitions.
- Discoverable → via catalogs and marketplaces.
- Governed → aligned with risk classifications, policies, and prohibited uses.
- Comparable → enabling evaluation across AI Products.
- Composable → semantically interoperable with other AI Products or Data Products.
Scope of AIPROD
AIPROD covers the semantic backbone of an AI Product, including:
- Identity & Ownership
- Purpose & Intent
- Capability Type
- Inputs & Outputs
- Lineage & Provenance
- Metadata & Self-Description
- Governance & Policy
- Quality Metrics
- Observability
- Interoperability & Standards
- Economic Model
- Discoverability & Cataloging
- Lifecycle & Versioning
- Explainability & Transparency
- Composability
- Prohibited Uses
- Extension Schema
- Examples
Relationship to BPS and AIPDS
- BPS → Defines the base product principles applicable to all product types.
- AIPROD → Extends BPS to define the semantic characteristics of AI Products.
- AIPDS → Extends BPS to define the deployment characteristics of AI Products.
Together, AIPROD and AIPDS provide a complete specification of AI Products — from definition to deployment.
Principles of AIPROD
- Self-Description → An AI Product must describe itself in machine- and human-readable formats.
- Discoverability → Semantics must power trustworthy search and cataloging.
- Governance by Design → Identity, ownership, policies, and prohibited uses must be explicit.
- Interoperability → AI Products must declare standards to enable ecosystem integration.
- Evolution → Semantic description must evolve with product versions and retraining.
Summary
- AIPROD = what an AI Product is.
- It defines identity, purpose, semantics, governance, and interoperability.
- It complements AIPDS (how the product runs) and BPS (base principles).
Principle: An AI Product without semantic self-description is just an asset — discoverable only by accident, not by design.