AI Incident Management and Investigations
Equip practitioners to classify AI incidents, detect harmful outputs, data leakage and failures, coordinate response, preserve evidence, assess regulatory and contractual notification, find root causes and drive corrective action and post-incident review.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Define AI incidents and hazards and classify them by type and severity
- Describe how harmful outputs, data leakage and AI system failures are detected
- Assign incident response roles and choose containment actions that protect people and evidence
- Preserve evidence and investigate an AI incident, building a reliable timeline
- Assess regulatory and contractual notification obligations, including the Notifiable Data Breaches scheme
- Conduct root cause analysis, plan corrective action and lead a blameless post-incident review