
For people leaders, the responsibility of managing and minimising risk is real – and ever changing. Yet few updates have posed a bigger potential impact to psychological safety than the adoption of AI. In partnership with the workplace psychosocial safety experts at Humn, this guide gives leaders a head start in this high stakes area of people management.

The guide doesn’t just cover the risks — it shows you how to harness AI’s genuine opportunities too. Work futurist Dominic Price looks ahead to suggest practical frameworks help you spot your blindspots before they become bigger problems. Get ahead of them now, so you can maximise the potential of AI at every stage of your adoption journey.

This guide features insights from people leaders at Culture Amp and MYOB who are navigating AI-enabled transformation in real time. They share how they’ve structured adoption to protect their people, not just their productivity. From co-designed rollout models to governance frameworks built for trust, their experience offers a practical blueprint for what good looks like.

This guide maps six key psychosocial hazard areas to the specific risks and opportunities created by AI, including:
How AI is reshaping job demands and what leaders should watch for
Why role clarity and support are harder to maintain in AI-enabled environments
The hidden isolation risk of tool-first ways of working
How to manage fairness and trust when AI shapes decisions
Best practice case studies from MYOB and Culture Amp
Expert guidance from Ingrid Jenkins, Kristen Raison, and Dominic Price

Whether you’re an experienced leader or new to people management, this guide provides actionable insights to navigate psychological safety in an age of AI.
HR and people & culture teams
Managers and team leaders
WHS and safety professionals
Founders and directors
CFOs and risk leaders
If AI is changing how your people work, this guide is for you.
Every other significant change to a work environment triggers some form of risk review. Introducing a new chemical. Changing a physical layout. Restructuring a team. AI should be no different, and yet in most organisations it’s being deployed on productivity logic alone.

Kristen Raison
Co-Founder & CEO of Humn