Define Potential Presents
Collaborating with AI
Course Overview
As organisations rush to embed AI into the flow of work, leaders are discovering that the real disruption is not technological, but human. Making sense of human– AI team dynamics is therefore vital. This one-day program explores AI and team dynamics, the roles and relationships in AI-human collaboration, how to develop staff experience imperatives such as trust and ownership, and how to lead AI-enabled teams.
Course Details
- Tuesday 25th August 2026
- Online
- 6 Hours
- All employees
Course Outline
Session 1
Welcome and Introduction
- Welcome and overview of AI collaboration in Australian Government
Session 2
AI and Team Dynamics
- AI’s effects on trust, quality and engagement
- Turning “workslop” risks into relational opportunities
- Human-AI Trust Lens: reliability, transparency and human connection
Session 3
Roles and Relationships in Human-AI Teams
- Clarify human vs AI contributions
- Reframe AI as a team member to explore roles and boundaries
- Identify AI literacy gaps to build confidence and trust
Session 4
Leading AI-enabled Team Relationships
- Modelling optimism and discernment
- Fairness, transparency and inclusion norms
- Case study: AI enabling collective decision-making
Session 5
Experiments for trust and collaboration
- AI+ Team Relationships experiments
- Trust/feedback metrics to measure change
Session 6
Personal commitments to relational leadership with AI
- Behaviours to model trust and ethics
- Sharing commitments for record and follow-up
- Trust dimensions recap
Session 7
Close and Next Steps
- Self- reflection and personal planning
Key Learning Objectives
Understand the current state of AI collaboration
Recognise the dual impact of AI on team dynamics in terms of potential and risks
Apply practical frameworks to clarify rules, build transparency and prevent low-quality outputs
Explore ways to build psychological safety for team when integrating AI
Identify ways to test and refine ways that AI can provide support.
Commit to relational leadership practices that model ethcal and responsible AI collaboration.
“As dealing with change becomes a regular activity, leading it becomes a skill to hone, an internal capacity to master”
- Arnaud Heneville