Make better AI decisions.
Without needing to be technical.
A facilitated workshop for non-technical teams to recognise ethical risks, use practical evaluation frameworks and work through realistic AI dilemmas. Delivery details and commercial terms are to be confirmed.
Make space to examine an AI decision.
Hiring tools, customer-service bots and performance monitoring can affect people. The outline introduces fairness, accountability, safety and transparency as questions to examine when discussing AI use.
For you if:
You work across HR, finance, operations, service or management.
You need a practical language for discussing trustworthy AI.
You want to recognise risks without technical knowledge.
You are ready to make decisions on realistic dilemmas.
Not for you if:
You need deep technical AI-safety training.
You are seeking formal legal or compliance advice.
You prefer a lecture without discussion.
You want ready-made policy documents.
Seven areas to explore.
Humanistic AI
Ethical AI
Responsible AI
Fairness
Accountability
Safety
Transparency
A sequence to discuss.
Foundations
Trustworthy AI and FAST frameworks
Discuss ethical dilemmas
Action planning
Before a session is agreed.
To be confirmed.
To be confirmed.
Facilitated workshop. Delivery arrangements are to be confirmed.
Location and format are to be confirmed.
Preparation requirements are to be confirmed. The outline is intended for non-technical teams.
Ask about the next step.
Price, GST treatment, inclusions and terms are to be confirmed. Use Contact to explain your needs. An enquiry does not reserve a place or take payment.
Questions, answered.
Who is this workshop for?
Non-technical teams who want to examine ethical risks and discuss AI decisions.
Is this legal advice?
No. This is an educational workshop, not legal advice or a compliance review.
How is it delivered?
AI Ethics is a facilitated workshop. Location, delivery arrangements and timing are to be confirmed.
What topics are in the outline?
Humanistic, ethical and responsible AI, with fairness, accountability, safety and transparency. Case selection and materials are to be confirmed.
What does FAST refer to?
Fairness, Accountability, Safety and Transparency are the four principles named in the outline.
What happens when I enquire?
Use Contact to describe your team and what you want to discuss. Duration, group size, materials, support, price and terms must be confirmed before a session is agreed.
Move beyond principles.
Discuss the decision.
Tell us which AI decisions your team wants to examine. We can discuss whether the workshop fits and what must be confirmed. Your enquiry does not book a session or take payment.