โš ๏ธ This is an AI-generated test article for theme demonstration/testing only. All content is synthetic.

Fairness and bias

Models trained on skewed populations can under-perform for under-represented groups. Audit your data first.

Transparency

Clinicians need to understand why a system made a recommendation, not just what it output.

Who is accountable

Define ownership for model decisions, monitoring, and rollback before deployment.

1
2
3
4
5
6
7
8
9
{
  "checklist": [
    "audit training distribution",
    "document intended use",
    "define human oversight",
    "plan for model drift",
    "set rollback criteria"
  ]
}

The bottom line

Deploy responsibly: measure, monitor, and explain.