Professional Practice
The Professional Practice of Clinical AI
What must a qualified AI professional know, demonstrate, and document? EII Clinical AI connects to the EII Professional Practice & Accountability Framework.
Proposed Principle
Questions for Professional Practice
- • What must a qualified AI professional know?
- • What must they demonstrate?
- • What may they responsibly conclude?
- • What evidence must support that conclusion?
- • What must be documented?
- • What should be escalated?
- • When must human authorization remain final?
- • What continuing competency is required?
- • When should revalidation occur?
- • How should conflicts be disclosed?
- • How should limitations be communicated?
Clinical AI Rounds
EII Clinical AI Rounds are a recurring multidisciplinary review of material AI conditions. Participants include business owner, AI owner, CIO, CISO, risk, legal, privacy, compliance, data, AI engineering, enterprise architecture, internal audit, and executive authority.
Clinical Rounds Review Items
- • AI Vital Signs
- • New AI systems
- • Material changes
- • Incidents
- • Drift
- • Agent behavior
- • Human overrides
- • Exceptions
- • Risk acceptance
- • Regulatory changes
- • Upcoming deployments
- • Interventions
- • Mission impact
Clinical AI Rounds connect to the EII Professional Practice & Accountability Framework, ensuring that AI professional practice is grounded in the same principles of evidence, judgment, documentation, and accountability that govern all EII professional disciplines.