AI for European aquaculture and fisheries.

In Norway the weekly lice count reaches Mattilsynet, the Norwegian Food Safety Authority, on the schedule the licence depends on, and the production area's traffic light turns on that number, so the operation that reads a camera-derived count into the return holds a named check on what the model reported before it was filed.

Automatic lice counting from underwater cameras is now the everyday method on Norwegian farms and the counts feed straight into the regulator's system, so who confirmed the camera's number before it left the operation is the record that matters.

Scotland's weekly Fish Health Inspectorate mortality reports are published as an open dataset on data.gov.uk under Marine Directorate, so a farm's numbers sit in a public file, and a supermarket buyer, an insurer or a certifier reads them the same afternoon as anyone else.

EU Regulation 2023/2842, the recast Fisheries Control Regulation, requires remote electronic monitoring, including CCTV, on vessels 18 metres and over with a demonstrated risk of high-grading or discard non-compliance, phased in from 1 July 2028 for 24-metre-plus and 1 January 2030 for 18-to-24-metre vessels. AI reads the tape at scale and the crew signs a decision that a court can read back years later.

ASC and MSC audits on North Sea, Norwegian, Shetland and Galician operations already run a surveillance cadence, and the assessor now expects a written line on what AI drafts, cleans or reads before the record reaches the audit file.

Mowi, SalMar and Leroy publish AI, machine-vision and remote-operation programs in their annual reports, and the standard those programs describe is the standard a smaller Norwegian operation now competes and insures against.

When a model reads a fish, the file must show what it did not see, which fish it discarded from the count, and which frame the counter used, or the audit has no way to test the number that reached Mattilsynet.

A weekly public dataset means the certifier, the insurer, the supermarket and the campaigner all read the same number the same afternoon, so the operation whose written position sets who verifies mortality classifications before they are submitted keeps one story to tell in every room.

Right-to-information requests, Senate inquiries and campaign groups can reach incident reports, monitoring data and correspondence, and 2025 put the sector on front pages again. Documentation here is written for scrutiny, and an AI-drafted incident report that went out unreviewed is precisely the artifact that fails that test.

The same operation answers the maritime safety regulator (AMSA in Australia), the fisheries regulator, the environmental regulator, biosecurity authorities, export registration, food safety and private certifiers whose audits carry commercial force. Licence breaches carry corporate fines up to $159,000, and each regulator changed something within the last two years, so the compliance surface rarely settles.

The 2025 South Australian algal bloom closed growing and harvest areas, with 99 percent of surveyed fishers reporting lost income averaging a 40 percent downturn; white spot disease closed prawn farms for nearly two years. When an event hits, you become the full-time interface to emergency regulation, grant paperwork and insurer correspondence.

The labour shortage touches 48 percent of seafood businesses, vessels sit alongside because minimum crewing cannot be met, and mining pays more for easier rosters. Whoever remains in the admin chair automates informally with whatever tool shrinks the reporting mountain, and the senior oversight of how is thin.

ABARES projects flat real sector value to 2028-29 while feed, fuel, freight and wages keep rising. Feed is the largest single cost in salmon farming, and AI already makes continuous spend decisions on that line at the corporates, which means the sector's biggest cost is already machine-managed ahead of any written position on it.