The second leg of our four-part Resilience Reset series builds on the risk and resilience foundation established in Part One of our series and turns our attention to one of the most significant innovations shaping our risk and resilience forecasting, analysis and decision making today: Artificial Intelligence. 

Artificial intelligence is transforming risk and resilience by improving foresight and insight, accelerating data-driven decisions, increasing crisis response speed, and informing strategic and operational oversight. 

But speed does not automatically create strength.  The very features that make AI powerful - its speed and autonomy – create significant vulnerabilities.

To realise AI’s potential to uplift risk management and resilience, there are technical, organisational and human challenges to meet.

As resilience becomes a defining capability for modern organisations, the integration of AI into risk management and resilience must be deliberate, governed, and strategically aligned.

This session discusses how AI technology can strengthen risk management and resilience, but only when it’s used deliberately, responsibly, and strategically.

In this second webinar, we will cover:

• The evolving role and use cases of AI in risk management and organisational resilience
• Top down vs bottom up AI adoption models
• Key technical, organisational and regulatory challenges 
• AI standards and guidelines worth knowing
• The human/AI interface - what's working and what's not

For risk and resilience leaders navigating rapid technological change, this session identifies the current opportunities, benefits and challenges in utilising and managing AI for success.

Speakers: 

David Fox | Board Chair - RiskNZ 

David has over twenty years of experience in project and enterprise risk management across New Zealand, Europe, and the Middle East. He focuses on practical, people-centred methods to simplify risk processes and build tailored risk awareness cultures.

He helps business leaders with the knowledge and tools needed for effective risk management, emphasising that practices must evolve with today’s changing business conditions.

David founded Fox-Risk Consultancy to enhance risk expertise for organisations locally and internationally, and he currently serves as chair of the RiskNZ board.

Kim Alderman | Director, AI Innovations Lab - Riskonnect

Kim brings a unique blend of technical expertise and practical application in the realm of artificial intelligence and machine learning to the forefront of Risk Management. With eight years at Riskonnect and a deep involvement in machine learning since 2015, Kim has been pivotal in integrating advanced AI technologies within the company's risk management applications.

Brad Smith | Principal Solutions Consultant - Riskonnect
Brad brings over 25 years of experience in Governance, Risk, Compliance, Planning, and Performance across 375+ organisations spanning government, private, and not-for-profit sectors in Australia and internationally.  He has extensive expertise developing and reviewing GRC frameworks, policies, registers and risk appetite statements, as well as designing and implementing GRC software solutions. Brad also delivers training and thought leadership through courses, webinars, and product related consultancy. He holds qualifications in Governance, Risk and Compliance, Lean Six Sigma and Project Management and is a member of the RMIA and OCEG.

Coming Next:

Part Three: Project Risk and Resilience

Projects collapse when adaptability isn’t designed in.

This conversation explores what project delivery looks like when resilience becomes part of the operating model.

Part Four: Governing Resilience

From regulatory pressure to systemic organisational strain, resilience is moving into governance.

This final conversation delves into what happens when boards start treating resilience as a measurable leadership outcome.