If you have ever sat in a meeting where engineers talked about "model explainability," legal counsel worried about "liability," and product managers argued over "trustworthy AI"—only to realize everyone meant completely…
If you have ever sat in a meeting where engineers talked about "model explainability," legal counsel worried about "liability," and product managers argued over "trustworthy AI"—only to realize everyone meant completely different things—you are not alone.
AI governance currently suffers from a severe case of the "Tower of Babel" syndrome. Everyone is talking about ethical AI, but without a shared dictionary, scaling operations or preparing for compliance audits becomes an uphill battle.
Enter ISO/IEC 22989—the foundational dictionary for the global AI standards ecosystem. Whether you are scaling an AI startup or aiming for full ISO 42001 certification, understanding this standard is your first step toward clear, compliant operations.
What is ISO/IEC 22989?
Published in 2022 and updated to address rapid technological shifts, ISO/IEC 22989 establishes a common, authoritative vocabulary for over 100 artificial intelligence concepts. Unlike implementation heavyweights like ISO 42001 (which focuses on setting up an entire Artificial Intelligence Management System), ISO/IEC 22989 defines what we actually mean when we use terms like "robustness," "transparency," and "machine learning."
According to the National Institute of Standards and Technology (NIST), organizations that adopt consistent terminology frameworks experience up to a 37% reduction in cross-departmental confusion during technical implementations.
The Language Problem: Explainability vs. Interpretability
One of the most valuable aspects of ISO/IEC 22989 is how it clears up common ambiguities in tech and policy discussions. For instance, the standard makes a crucial distinction between:
Explainability: The ability to explain why an AI system behaves the way it does in human-understandable terms.
Interpretability: The degree to which a human can consistently predict the results of a model before it runs.
Conflating these terms in risk assessments or legal documentation can cause major compliance gaps—especially when aligning your startup with frameworks like the EU AI Act or the NIST AI Risk Management Framework (NIST AI RMF).
Key Sections Inside the Standard
ISO/IEC 22989 organizes its taxonomy into structured domains that bridge the gap between technical teams and business stakeholders:
Core AI Terminology: Fundamental definitions for machine learning, neural networks, and algorithmic bias.
System Properties: Standardized language for safety, security, fairness, reliability, and accountability.
Lifecycle Concepts: Clear vocabulary covering everything from initial training data collection to deployment and continuous maintenance.
Stakeholder Roles: Defining who is responsible for what—from developers and deployers to affected individuals.
2025/2026 Updates: Recent revisions incorporate terminology for modern foundation models, human-AI collaboration, and standardized algorithmic impact assessments.
Why Standardized Terminology Boosts ROI and Compliance
Adopting a unified AI lexicon is not just an academic exercise; it yields tangible business advantages:
Accelerated Resolution Times: A survey by the IEEE Standards Association found that organizations utilizing standardized AI terminology resolved cross-functional disagreements 42% faster.
Streamlined Audits: When your technical documentation, risk management policies, and compliance reports use internationally recognized definitions, preparing for ISO 42001 audits becomes vastly more straightforward.
Stronger Vendor and Customer Trust: Clear terminology removes ambiguity in RFPs, client contracts, and safety disclosures, giving you a definitive edge over competitors.
Next Steps for AI Startups
If you want to integrate ISO/IEC 22989 into your operations:
Audit Your Lexicon: Review your current AI policies, client contracts, and technical documents to see where vague terms might create compliance loopholes.
Align with Management Systems: Use these precise definitions as the bedrock when building out broader frameworks like ISO 42001.
Ready to build trust with your enterprise clients and streamline your compliance journey?
Connect with me today to get your AI startup ISO 42001 certified.
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Kumail Mehdi
ISO 42001 Lead Auditor and AI strategist. 11 years in corporate leadership, 14 years running a digital agency. I help professionals, consultants and AI startups turn expertise into governed, AI-powered systems.
