Katrina Shanks
ANZIIF has expanded its professional development offering to help insurance professionals build practical capability in AI and cyber risk, two of the industry’s fastest-moving areas. The expansion includes a new trilogy of short courses in AI, alongside a new short course in cyber risk.
The AI trilogy offers a structured pathway to build capability in how AI should be assessed, governed and applied responsibly, while a new short course in cyber risk equips professionals to recognise, prevent and respond to today’s most pressing threats.
Katrina Shanks, CEO of ANZIIF, says these new short courses respond to a clear need for practical, industry-specific education as both risk areas accelerate.
“As AI becomes embedded in everyday decision-making, professionals need more than general awareness, they need the practical skills to assess data, apply governance standards and manage risk with confidence,” Shanks says.
“This trilogy gives insurance professionals a clear, structured pathway to build that capability, whether they’re just starting to engage with AI governance or looking to deepen existing expertise. Paired with our new cyber risk course, it means the industry now has practical tools across two of its fastest-moving risk areas.”
The AI trilogy
- Understanding data-centric AI examines how data quality, bias, privacy and security shape AI performance, risk and accountability.
- Understanding the Artificial Intelligence management system standard explores the principles behind responsible AI governance, including impact assessments, risk management and practical application of the Standard.
- Developing responsible AI systems looks at how to support safe, fair and inclusive AI systems across the AI lifecycle, helping learners identify technical and ethical risks.
Cyber Risk
- Cyber risk: What insurance professionals need to know covers the drivers behind rising cyber attacks, common threats and warning signs, and practical strategies to help clients prevent, respond to and recover from cyber incidents.