Audience
The course goal is to equip professionals with the essential awareness and practical skills to use generative AI safely, responsibly, and effectively, protecting both themselves and their organisation's data.
Prerequisites
There are no prerequisites.
Duration
1 day.
Course Objectives
By the end of this session, participants will be able to:
- Explain what Generative AI is in simple terms, including its primary benefits and risks in a business context.
- Identify the four main categories of risk associated with using public AI tools: confidentiality, accuracy, bias, and security.
- Apply the P.A.C.T. framework to assess the safety of using AI for a specific professional task.
- Differentiate between the appropriate uses for public AI tools versus secure, private enterprise AI platforms.
- Formulate a personal action plan for using AI responsibly and contributing to a safe AI culture within their organisation.
Course Content
Session 1: The New Co-Worker: Why AI Safety is Everyone's Responsibility
- Welcome & The AI Temperature Check
- The "Brilliant Intern" in the Machine: how AI works and why it makes mistakes
- Balancing Productivity & Peril
Session 2: The User's Guide to AI Pitfalls
- The Four Core Risks
- Confidentiality: "The Walls Have Ears"
- Accuracy: "The Confident Liar"
- Bias: "Garbage In, Gospel Out"
- Security: "The AI-Powered Scammer"
- Group Discussion: Risk Prioritisation
Session 3: The Responsible User's Toolkit
- The P.A.C.T. Framework for Safe AI
- The Right Tool for the Job: Public vs. Private AI
- Workshop: The AI Scenario Challenge
Session 4: From Policy to Practice: Your Action Plan
- AI-Assisted Best Practice Crafting
- The Importance of an AI Policy
- Final Q&A & Commitment