Governance and society

AI assurance, audit and standards

AI assurance, audit and standards is the work of independently reviewing what is claimed about an AI system and testing the evidence behind it. AI companies need it because customers, regulators and partners increasingly ask for proof, not promises.

Buyers, regulators and procurement teams now ask AI companies to show their working. Founders get questions they cannot answer with a product demo. The hires are tricky because the field is young. Titles vary, and the scope of an engagement must be stated clearly. Independence matters too. An auditor who helped build the controls cannot credibly judge them. Strong candidates usually come from audit, assurance, quality management or technical risk, and have learned how AI systems fail.

Hiring now 2Emerging 2

Roles in this family

4 roles

Hiring nowAI AuditorAn AI Auditor independently tests whether a company's AI controls work as claimed, against an agreed scope and criteria. They give buyers, partners…Hiring nowAI Assurance SpecialistAn AI Assurance Specialist independently tests the claims made about an AI system and the evidence behind them. They help a company show customers…EmergingAI Management Systems SpecialistAn AI Management Systems Specialist builds and runs the processes that keep an AI company's governance real: policies, controls, evidence and…EmergingAI Standards EngineerAn AI Standards Engineer turns applicable technical standards into clear implementation criteria and shows the evidence that a system meets them…

Where the people come from

Audit, assurance, quality management or technical risk

Not to be confused with. Assurance scope and auditor independence must be stated.

Core skills

  • Model evaluation
  • AI risk management
  • AI governance and assurance
  • Technical communication

Where it is used

  • Cross-sector AI platforms
  • Accounting audit and tax
  • Government and public administration

Routes in and out

People move in from

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