Flip through these flash cards that expose the real risks of using AI at work, from hallucinations and deepfakes to bias and data misuse.
Hallucination
Confidently wrong
AI hallucination is when an AI invents information and delivers it with complete confidence, as though it were verified fact.
It sounds polished. It feels authoritative.
Which is exactly why it is convincing and potentially disastrous if taken at face value without checking.
Bias
Neutral tool, Not-so-neutral output
AI bias happens when systems reflect and amplify human prejudices hidden in their training data.
It looks objective. It sounds rational.
But it can quietly reinforce unfair decisions at scale.
Data Privacy
Nothing you share is “just data”
Data privacy issues arise when personal information is collected, stored, or reused beyond its original purpose.
It feels invisible. It feels harmless.
Until that data is misused, leaked, or repurposed in ways you never agreed to.
Deepfakes
Seeing is no longer believing
AI-generated images and deepfakes can create faces, voices, and moments that never existed.
They look real. They sound real.
Which makes them powerful, persuasive, and dangerous when reality is assumed instead of verified.
Communication skills in the age of AI
Use AI to support workplace communication while keeping messages human-led through thoughtful review and judgment.
AI recruitment
Learn to use AI in hiring with care by combining smart tools and human judgment to support transparent recruitment decisions
Foundations of prompt literacy
Learn to write clear AI prompts by adding context and refining instructions so outputs are accurate, useful and reliable for everyday work
AI for customer-facing teams
AI tools are sometimes used to draft responses, suggest next steps, or summarise customer information, but misuse can cause errors.
