Glossary
This glossary provides a shared vocabulary across the Base Product Specification (BPS),
AI Product Deployment Specification (AIPDS), and AI Product Specification (AIPROD).
It combines foundational terms (BPS) with AI-specific definitions (AIPDS, AIPROD),
ensuring clarity, consistency, and governance across specifications.
Core Concepts
Product
An entity that satisfies the true product characteristics — including deployability, self-description, discoverability, governance, and economic sustainability.
Base Product (BPS)
A meta-framework defining the core characteristics of any product, independent of its domain (data, AI, software, etc.).
Data Product
A productized form of data that satisfies BPS characteristics (deployable, discoverable, trustworthy, etc.) and is governed for consumption.
AI Product
A packaged, consumable unit of AI capability (prediction, generation, reasoning, interaction)
with self-service access and governance.
AI Asset
A raw or incomplete AI element (e.g., dataset, model weights, API) that lacks sufficient product characteristics to qualify as an AI Product.
Governance & Risk
Governance Metadata
Machine-readable declarations of policies, obligations, and compliance markers that apply to a product.
Risk Classification
The categorization of a product by regulatory or organizational risk levels (Minimal, Limited, High, Unacceptable).
Prohibited Uses
Explicit contexts or applications where a product must not be used, declared in AIPROD.
Audit Evidence
Artifacts (logs, fairness reports, compliance certificates) used to demonstrate alignment with governance obligations.
Trust & Transparency
Explainability
Mechanisms that make outputs of an AI Product understandable to humans (e.g., feature importance, counterfactuals).
Transparency
Declarations about training data, model architecture, governance policies, and limitations of a product.
Observability Signals
Telemetry, rationales, and fairness indicators that provide visibility into product behavior at runtime and over time.
Lineage
The record of dependencies, upstream/downstream products, and version history.
Provenance
The origin of a product, including data sources, models, and contributors involved in its creation.
Trustworthy Discovery Mechanism
A Trustworthy Discovery Mechanism is a catalog, registry, or marketplace that enables consumers (human, system, or agent) to find and evaluate AI Products with confidence in the accuracy, integrity, and governance of the information provided.
Key attributes:
- Authoritative → entries are curated or validated by accountable owners.
- Reliable → available, queryable, and technically dependable.
- Governed → compliant with organizational, regulatory, or ecosystem-level policies.
- Transparent → includes sufficient metadata for evaluation (purpose, risk, metrics).
- Interoperable → supports open standards for cross-platform discovery.
Principle: If an AI Product cannot be discovered via a trustworthy discovery mechanism, it cannot be fully trusted, governed, or reused.
Economic & Operational
Economic Model
The declared framework for pricing, cost, and resource consumption of a product (fixed, usage-based, hybrid, tokenized, etc.).
Discoverability
The ability of a product to be registered, cataloged, and found through trustworthy discovery mechanisms.
Interoperability
The ability of a product to integrate into broader ecosystems by adhering to open standards for interfaces, metadata, and data formats.
Composability
The ability of a product to combine with others (data or AI) into pipelines, workflows, or higher-order systems.
Extension Schema
The mechanism by which a product supports schema evolution, plug-ins, and domain-specific adaptations.
Lifecycle
Lifecycle Stage
Declared maturity of a product (Experimental, Beta, Production, Deprecated, Retired).
Versioning
The controlled evolution of a product, typically using semantic versioning (MAJOR.MINOR.PATCH).
Retirement
The withdrawal of a product from active use, while preserving metadata for audit and lineage.
Discovery & Cataloging
Catalog Entry
The registration of a product in a searchable catalog or marketplace, including metadata, lineage, and governance markers.
Principle: Shared vocabulary is a form of governance — without it, even well-designed products risk misunderstanding and misuse.