The "bring your own data" trap is the sharpest point here. Most banks think retraining on proprietary data is routine customization. Whether it crosses into substantial modification entirely depends on whether the vendor's conformity assessment explicitly scoped it and most don't.
The cumulative drift question is the one that'll produce the first major enforcement case. Each step is foreseen, the destination isn't. Nobody has an answer for that yet.
I build production AI systems in regulated environments this is exactly the compliance surface I think about. Worth a subscribe here too.
The cumulative drift problem is harder to enforce than it looks, too. The whole framework assumes discrete trigger points — a modification happens, re-assessment follows. Cumulative drift doesn’t give you a clean trigger. Whoever brings that first case is going to have to argue that the sum of changes constitutes a modification. That’s a genuinely novel legal argument.
Exactly and that's the structural weakness. The regulation is event-driven, but cumulative drift is a process, not an event. The enforcer will need a threshold argument the law doesn't provide yet. My guess: the first case gets settled, and the settlement terms quietly define the line everyone else calibrates to.
Likely right on the settlement. The problem is that enforcement sits with national market surveillance authorities — and they won’t all settle on the same threshold. So “the first case defines the line” might actually produce five different lines in five different member states. Fragmentation as the compliance standard is its own kind of problem.
GDPR went through the same fragmentation early on, Irish DPA vs. German authorities reading the same rules differently for years. The AI Act might need a decade of EDPB-equivalent coordination before the line is actually one line. Until then, multinationals will calibrate to the strictest reading and call it a day.
The "bring your own data" trap is the sharpest point here. Most banks think retraining on proprietary data is routine customization. Whether it crosses into substantial modification entirely depends on whether the vendor's conformity assessment explicitly scoped it and most don't.
The cumulative drift question is the one that'll produce the first major enforcement case. Each step is foreseen, the destination isn't. Nobody has an answer for that yet.
I build production AI systems in regulated environments this is exactly the compliance surface I think about. Worth a subscribe here too.
The cumulative drift problem is harder to enforce than it looks, too. The whole framework assumes discrete trigger points — a modification happens, re-assessment follows. Cumulative drift doesn’t give you a clean trigger. Whoever brings that first case is going to have to argue that the sum of changes constitutes a modification. That’s a genuinely novel legal argument.
Exactly and that's the structural weakness. The regulation is event-driven, but cumulative drift is a process, not an event. The enforcer will need a threshold argument the law doesn't provide yet. My guess: the first case gets settled, and the settlement terms quietly define the line everyone else calibrates to.
Likely right on the settlement. The problem is that enforcement sits with national market surveillance authorities — and they won’t all settle on the same threshold. So “the first case defines the line” might actually produce five different lines in five different member states. Fragmentation as the compliance standard is its own kind of problem.
That's the deeper problem.
GDPR went through the same fragmentation early on, Irish DPA vs. German authorities reading the same rules differently for years. The AI Act might need a decade of EDPB-equivalent coordination before the line is actually one line. Until then, multinationals will calibrate to the strictest reading and call it a day.