AI brings new grey zones - where policies might lag behind, decisions move fast, and trust is hard won.

This session unpacks what ethical and responsible AI mean for people and team leaders.

You’ll learn how to translate principles into practice, guide your teams safely, and make sound calls when technology is part of the decision.

Each part explores what “doing the right thing” looks like when AI is in the mix.

Resources will be available to download during the workshop.

This webinar is for people in leadership roles

• Team leaders, GMs, senior managers, project directors
• Accountable for budgets, and teams
• Not technology, data or AI compliance specialists

Who

• Feel pressure to ‘be responsible and ethical in their use of AI’ but unclear on what that is
• Want to be able to speak credibly about AI to their peers, teams, execs, boards, or stakeholders, especially with unclear guidelines and in a fast-changing environment
• Treading the line between tech hype saying to speed up, and risk saying to slow down
• Want to do the right thing but lack confidence and clarity about where ethics, compliance, and leadership overlap
• Curious, capable, and ready to get practical - but tired of buzzwords and big promises

This is number two of a series of three. You can complete it as a stand-alone session, but chances are you’ll want more. If you sign up to all three webinars at once, you'll receive our special combo price of $500+GST.

After completing this course you’ll be:

• Clear on what ethical and responsible are, and where leadership judgement fits between them
• Confident to question, challenge, and make decisions when AI is in the mix
• Equipped with simple language and examples to guide their teams
• Aware of where their accountability starts and ends, and when to seek help

Part One: Ethical Use of AI – Principles and Boundaries

What “ethical use” means, what it covers, and why it matters to people leadership.

We’ll explore

• Clear explanation of Ethical use (fairness, transparency, privacy, accountability, human impact)
• Difference between ethics (principles) and compliance (rules)
• How AI shifts the moral load from following policy to interpreting it
• The connection between ethical use and organisational trust, culture, and reputation
• High-level overview of governance and compliance frameworks - what they are, and when to engage them

Part Two: Responsible use – AI-daptive Leadership in practice

Making the shift from understanding principlesto leading responsibly in practice.

How to apply ethical principles in day-to-day work and lead teams safely, fairly, and transparently.

We’ll explore

• Practical exploration of the six elements of responsible use: Conscious use, Transparency, Privacy & Protection, Fairness & Respect, Accountability, Culture & Conversation
• Real-world examples of how these show up in team decisions
• Reflective framework or key questions for each
• Ask, Act, Align AI-daptive Leader model
• Setting team norms and expectations for safe, and creative use, of AI