Use AI Tools with Confidence
Learn to make decisions without second-guessing, ensuring safe AI use.
Understand Safe Data Input
Clear guidelines on what data is safe to input into AI systems.
Manage Risks Effectively
Recognize and mitigate security, privacy, and compliance risks in everyday AI use.
About the Course
AI tools are already part of everyday work—but most people don’t fully understand the risks they create. Safe AI at Work gives professionals and managers clear, practical guidance on how to use AI tools safely and responsibly—without technical jargon or complexity. You’ll learn how to recognise risks around security, privacy, and compliance, and apply simple, real-world judgement in everyday situations. Join to build a practical mental model for safe AI use—so you can make confident decisions, adapt to changing tools and policies, and use AI effectively at work.
About the Creator
Michael Langdon is a trusted advisor on technology risk, cyber security, and AI governance, with over 20 years’ experience helping organisations navigate complex digital risk. He has worked with senior leaders and executives across global organisations to ensure technology—including emerging AI tools—is used safely, responsibly, and with clear accountability. His work focuses on turning complex risk into clear, practical decisions that protect organisations while enabling innovation. This course brings that real-world experience into a practical format—helping you understand not just what the risks are, but how to recognise and manage them in everyday work.
Course Curriculum
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1
Introduction to Safe AI at Work: How to Use and Deploy AI Without Security, Privacy or Compliance Risk
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Welcome to the Course
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Disclaimer
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Course Outline
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Who this course is for (and who it isn’t)
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How to use this course
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2
How AI Use Actually Creates Risk at Work
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Overview
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Why AI risk looks different from traditional IT risk
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Everyday AI behaviour that quietly creates exposure
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Responsibility: individual vs team vs organisation
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Why “everyone is doing it” isn’t protection
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Knowledge Check
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Summary
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3
What You Can and Cannot Safely Put Into AI Tools
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Overview
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Understanding data sensitivity in simple terms
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What never goes into AI tools
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The hidden risk of partial or “anonymised” data
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Prompts, uploads, and context — where risk creeps in
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knowledge Check
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Summary
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4
Using AI Tools Without Losing Control of Data and Outputs
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Overview
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What happens to prompts and outputs
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Data retention and reuse (plain English)
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Free vs paid AI tools: risk differences
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Common myths that lead to mistakes
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Knowledge Check
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Summary
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5
Choosing AI Tools Safely (For Individuals and Teams)
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Overview
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When a tool is “safe enough” — and when it isn’t
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Reading AI privacy pages without legal training
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Red flags most people miss
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Approving tools as a manager or team lead
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knowledge Check
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Summary
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6
Guardrails That People Actually Follow
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Overview
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Why strict AI bans fail
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Designing simple, usable guardrails
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Shadow AI: recognising it early
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Creating shared understanding without policing
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Knowledge Check
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Summary
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7
Compliance, Accountability and “Who is Responsible?”
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Overview
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How AI fits into existing professional obligations
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Accountability myths (“the tool did it”)
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Individual vs organisational responsibility
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Staying compliant without becoming a blocker
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Knowledge Check
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Summary
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8
When AI Use Goes Wrong: What to Do Next
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Overview
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Recognising an AI‑related incident
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What to do immediately (and what not to do)
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Who to involve and why timing matters
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Reducing harm and learning from mistakes
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Knowledge Check
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Summary
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9
Using AI Confidently Going Forward
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Overview
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Building good AI judgement over time
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Explaining safe AI use to colleagues
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Adapting as tools and rules evolve
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Final mental model: safe AI by default
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knowledge Check
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Summary
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Ready for Safe AI at Work?
Join now to gain the knowledge and skills needed for safe and effective AI utilisation at work and home. Take the next step towards becoming an AI-savvy citizen!
£199.00