In the hierarchy

1. Part II: Societal & Human Concerns
2. D13. Health, Safety & Care
3. 13.1 Clinical AI

Virtues and principles to explore

Held as inquiry, not as a verdict.

• Service

  Hope

  Who is served and who benefits are not always the same.

• Dignity

  Center principle

  Every person is a protagonist, not a data point.

• Listening

  Trust

  Listen to understand, rather than listen to speak.

Starter questions

Written to probe curiosity and learning, not accusation.

1. 01If we named this complication in advance, what small, reversible step would let us learn?
2. 02How would we know we were getting this wrong? What would we observe, without blaming a person?
3. 03What would trustworthiness look like here: what we do, what we say, and the belief others form?
4. 04What would it look like if we held “Ophthalmology screening error” with proportion rather than alarm?

Also on this branch

• Diagnostic errors20
• Triage algorithm bias25
• Care-management under-coverage16
• Sepsis-prediction reliability16
• Radiology model drift16
• Pathology AI edge cases16

Frameworks and sources

• WHO guidance on ethics and governance of AI for healthframework
• EU AI Act — Annex III high-riskregulation