THREE TIERS
EW-AiRM™ scales from a single AI system start-up to a global enterprise running hundreds of deployments. The framework is identical throughout; only the depth of its implementation changes.
ENTRY
Start-/scale-ups and limited AI deployment:
<100 employees
1–5 AI system
Six pillars applied at conceptual level
HAiPECRTM run as a pre-deployment filter
Top-tier MIT risks only (Primary mappings)
One named accountable owner per system
Quarterly review cycle
Self-assessment using the Maturity Tool
RECOMMENDED
For mid-market firms and regulated SMEs:
100–1,000 employees
5–25 systems
All six pillars with documented evidence
HAIPECRTM pre-deployment + continuous review
Primary + Secondary MIT mappings
Two-line accountability (system + risk owner)
Six AI Black Swan categories rehearsed
Monthly KXI dashboard, quarterly board pack
ENTERPRISE
For global enterprises and systemically important institutions:
1,000+ employees
25+ systems)
All six pillars with second-line review
HAiPECRTM audit trail per deployment
Full Primary / Secondary / Tertiary mappings
Three-line accountability + board sponsor
All eight Black Swan categories annually
Weekly KXI, monthly risk, quarterly board
FLOOR CONDITIONS: The 5 Non-Negotiables
1
Named accountability for every deployed AI system
2
HAiPEICRTM run as documented pre-deployment filter
3
Human override capability tested with a 4-hour SLA
4
Documented board or executive risk acceptance
5
Incident reporting pathway, with named recipient
The Maturity Assessment Tool will tell you in 20 minutes. Free, runs in your browser, nothing leaves your machine.
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之家 EW-AiRM™ — 一个开放的、三层的企业级人工智能风险管理框架,基于公开许可的标准,并与联合国教科文组织、联合国欧洲经济委员会、美国国家标准与技术研究院、国际标准化组织和欧盟人工智能法案保持一致。
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