Artificial Intelligence
Bias and Responsible AI in Diagnostics
GPP AI Working Group · 6 hours · Intermediate · ★ 4.7 (1,340 learners)
Learning outcomes
- Identify sources of dataset and deployment bias
- Design subgroup performance analyses
- Establish post-deployment monitoring
- Apply governance frameworks
Curriculum
Module 1: Where bias enters
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 2: Subgroup analysis
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 3: Monitoring and drift
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 4: Governance and accountability
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 5: Incident response
Recorded lectures, reading list, worked examples and a short self-assessment.
Certification
Certificate of completion. Awarded on completion of all modules.
Course certificates state clearly whether they represent participation, completion, assessment or CME credit. They do not constitute professional certification or a licence to practise.