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Domains

Domain Atlas

How does this show up in specific domains?

Social services are a high-stakes frontier for AI governance: predictive scores and generative assistants already shape who gets investigated, helped, paid, and believed. Five domains, thirteen use cases, and 11 documented case files — every factual claim cited to the Evidence Registry.

Institutional pressures

The recurring forces that bend deployed systems away from their evaluated behavior. Each domain page names the pressures that dominate it — this vocabulary is conceptual framing, drawn from the documented cases.

Caseload surge

Demand outruns staffing; per-case attention shrinks and review becomes triage.

Reviewer bottleneck

One fixed-capacity checking stage sits between AI output and consequence; everything queues behind it.

Austerity & recovery incentives

Cost-cutting and overpayment-recovery targets tilt the system toward denial and enforcement errors.

Vendor opacity

The deploying institution cannot inspect the model, data, or update pipeline it is accountable for.

Deadline pressure

Statutory or managerial timeliness rules reward fast approval of machine output over slow disagreement.

Staff turnover

Experienced skepticism leaves; new staff calibrate their trust on the tool itself.

Data & policy drift

The world, the intake process, and the rules change under a system trained on how things used to be.

Compliance over substance

Paper controls (sign-offs, checklists) satisfy audits while the behavior they describe erodes.

Want to see these pressures act on a system? Stress-test them in the PAN Lab →