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    AI Literacy

    AI Risks You Need to Know

    Hallucination, bias, and data privacy — the three things that get professionals in trouble

    15 minBeginnerEnglish

    GMAsia Campus

    AI Literacy Faculty

    About This Course

    AI risk isn't theoretical — it shows up in Monday morning emails. A forwarded hallucination. A biased recommendation that goes unchallenged. A confidential client proposal pasted into a public AI tool.

    This module names the three risks every professional needs to understand, gives you the one rule that prevents 80% of AI incidents at work, and leaves you with three skills you can apply to every AI interaction from today.

    What You'll Learn

    • Understand why AI generates confident falsehoods — and how to catch them
    • Recognise how bias in training data affects AI output in APAC contexts
    • Apply the data privacy rule that protects you and your clients
    • Distinguish safe from risky AI use in professional settings
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    5 modules · 15 min