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Risk and governance

Governance across the model lifecycle

A reviewable framework makes assumptions, changes, limits, exceptions and responsibilities visible across research and engineering work.

Lifecycle

Decision points from research to retirement

  1. 01Research
  2. 02Review
  3. 03Controlled integration
  4. 04Operation & monitoring
  5. 05Change & incident review
  6. 06Retirement or rollback

Algorithm oversight

Five domains for a reviewable operating model

These are illustrative design considerations to be defined and evidenced for each engagement; they are not presented as current operational controls.

01

Research integrity

A project framework may define assumptions, data lineage and validation methods so research can be reproduced and challenged.

  • Assumptions and data lineage
  • Reproducible methodology
  • Out-of-sample testing
  • Simulation/live distinction
02

Model and change governance

A project framework may assign responsibility for model identity, decisions, changes and retirement.

  • Model identification and versioning
  • Review responsibilities
  • Controlled promotion
  • Rollback and retirement
03

Operational control design

A project framework may specify limits, operator authority and exception paths for the target environment.

  • Defined limits
  • Anomaly monitoring
  • Pause or shutdown authority
  • Exception escalation
04

Monitoring and accountability

A project framework may define how system state, exceptions and escalation paths are made visible to accountable operators.

  • Audit records
  • Incident handling
  • Reporting responsibilities
  • Post-incident review
05

Security and resilience

A project framework may define access boundaries, change management and recovery requirements within the operating model.

  • Access boundaries
  • Change management
  • Recovery procedures
  • Continuity planning

Institutional contact

Agree how the algorithm will be supervised

A scoped programme defines the evidence, testing conditions, decision authority and operating boundary before implementation.

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