Current AI in AV industry = mostly software AI?
As AI becomes embedded into cameras, DSPs, room systems and sensors, the conversation is shifting from capability to accountability.
Enterprises are now asking:
❓ How does the AI make decisions.
❓ Can we audit or override it.
❓ What data is collected, processed, or shared.
❓ Is it aligned with ISO/IEC 42001, NIST AI RMF, or the EU AI Act.
The're right to ask because AI‑enabled AV introduces risks the industry hasn’t historically managed:
⚠️ Opaque automation in tracking, filtering, and analytics.
⚠️ Sensitive data flows across networks and borders.
⚠️ Model drift and unpredictable behaviour.
⚠️ Privacy exposure in physical‑digital environments.
As AI adoption accelerates, these risks are growing exponentially.
78% of professional editors already use AI tools, and AI reduces AV post‑production costs by 38% while cutting 4K+ rendering time by 52%.
When AI is this deeply embedded, governance can’t be optional.
What governance‑first AV design looks like:
1. Transparent AI behaviour-
Explainability, thresholds, logs, and override controls must be built in, not bolted on.
2. Privacy‑by‑design data flows-
Minimise what you collect. Process on‑device where possible.
With 81% of users preferring adaptive, AI‑driven content, transparency becomes essential.
3. Secure‑by‑default architecture-
Role‑based access, audit trails, model versioning, and clear data lineage are now baseline expectations.
4. Alignment with emerging standards-
ISO/IEC 42001, NIST AI RMF, and the EU AI Act are already shaping procurement decisions.
5. Continuous monitoring-
AI isn’t static. Governance can’t be either.
Bias, drift, performance, and security must be reviewed continuously.
😉 The AV industry is at a real turning point.
Those who treat AI as just another feature will quickly fall behind.
Those who treat governance as a core product philosophy will lead the market.
AI in AV must be explainable, auditable, and aligned with globally recognised governance frameworks.
That’s what enterprise buyers now expect, and it’s what will separate deployable products from disposable ones.
A CTS with more than 20 years in Pro AV.With credentials including ISO 27001 Practitioner, CompTIA Security+, AVIXA CTS, and service as a member of the AVIXA Standards Steering Committee, I bring a multidisciplinary perspective that spans security governance, systems engineering, AV risk, and operational resilience. I understand AI as a socio‑technical system, where risks extend across architecture, data flows, user behaviour, and integrated AV/UC environments.
i've led the design and optimisation of secure collaboration environments — from Microsoft Teams to enterprise meeting rooms and hybrid working platforms — supporting high‑stakes spaces such as Board meetings, AGMs, and multi‑site collaboration.
I am now expanding my leadership into AI governance and responsible technology, developing capability in ISO/IEC 42001 (AIMS) and the NIST AI RMF to help organisations operationalise AI safely, ethically, and at scale
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