Thurs., August 6 • 4-5 PM
Location: TBD
Speakers: Kirk Harnack, CBNE, CBRE; Fred Morton, CSRE
Categories: Radio/TV Tech
This session is a practical, engineering-focused look at how AI is already being used in broadcast plants to reduce downtime, improve consistency, and speed up routine work. We’ll define the major categories of AI in plain language (detection, classification, prediction, and generation) and show where each one fits in real broadcast workflows.
The emphasis will be on what these systems can do today, what they cost in time/complexity, and what they replace or augment in the normal day-to-day work of engineering and operations.
Attendees will leave with real-world examples, common failure modes to watch for, and a simple framework for deciding what’s worth piloting at their station.
We’ll cover implementation basics—how to run a low-risk 30-day “shadow mode” trial, how to measure ROI, and how to keep humans in control of on-air decisions—plus the operational and compliance considerations that matter in broadcasting (accuracy, disclosure, provenance, and risk management around synthetic audio/video).
The goal is to give engineers, managers, and content teams a clear picture of where AI delivers immediate value, where it can create new problems, and how to adopt it safely and responsibly.
