Every organisation has responsibilities around privacy, confidentiality, fairness and risk, even if nobody has clearly explained how
they apply to AI. For Executive Assistants handling inboxes, documents, requests and sensitive information, governance is not
simply a boardroom issue. It plays out in the everyday decisions made at your desk.
Building on the earlier sessions exploring cybersecurity and professional judgement, Sam strips AI governance back to two practical questions: Do I know what the rules are, and can I show that I followed them?
Through three realistic EA scenarios, you will explore what governance and ethics look like in practice, identify where the risks may be hiding and consider what you would do.
We’ll explore:
• What AI governance means in an everyday EA environment
• Why having a policy is only half the job, and how to demonstrate that you followed it
• How AI can introduce bias or unfairly influence decisions
• “Shadow AI”: the seemingly harmless shortcuts that can expose an organisation to risk
• Recognising personal, sensitive and confidential information within the documents you handle
• Responding appropriately to urgent or unusual requests, including the emerging threat of deepfake fraud
• Applying sound judgement through three realistic EA scenarios
You will leave with a clearer understanding of where the boundaries lie, how to make responsible decisions and how to demonstrate that you followed the appropriate process if questions are ever raised.
SAM BANERJEE
PhD Researcher (Responsible AI) | Causal Shield, UTS DSI
NSW Chapter Director, Digital Directors ANZ | Board & Risk Advisory | AI Decoded | MAIC
13:00 NETWORKING LUNCH