Risk Literacy: Understanding What Could Go Wrong

Risk literacy and AI risk in the workplace — understanding what could go wrong before it does. Unique, practical breakdown of AI hallucinations, AI email drafting risks, and how large language models at work can create operational and reputational risk. Listen to quickly spot AI compliance risks and protect your brand, workflows, and career from avoidable AI failures.

What You'll Learn:

• How to define risk literacy in the age of AI and why it matters for everyday workplace decisions, not just for risk teams.
• The three overlapping categories of AI risk in the workplace—operational, reputational, and compliance—and how they show up in real tasks.
• How model risk (what the large language model gets wrong) differs from product or workflow risk (how your tools and processes use that model).
• Concrete examples of AI hallucinations and biased outputs, especially in AI email drafting, and how they can lead to brand and reputation damage.
• Simple checks and guardrails to reduce AI compliance and regulatory risk when using large language models at work.
• A quick method to map where AI is already in your workflows so you can see hidden operational and reputational exposures.
• How to capture key learnings in writing so you remember them and turn risk insight into practical safeguards at work.
• A step-by-step way to choose one small, realistic action this week to improve your own risk literacy and your team’s AI practices.