AI Safety Basics: What Every Employee Needs to Know

What you’ll explore

• Identify the three main AI safety risks relevant to everyday work: hallucination, data exposure and bias
• Apply the human-in-the-loop principle consistently, so checking AI output becomes a habit rather than an afterthought
• Apply safe AI habits — what to put in, what to leave out, and what to always check — in everyday AI use
• Recognise the warning signs that an AI output may be wrong or inappropriate before it's acted on or shared
• Report AI safety concerns through the correct organisational channel, and know what to include when they do

Who it’s for

All employees who use AI tools of any kind in their day-to-day work, regardless of role or department Team leaders and managers who need to model and reinforce safe AI habits within their own teams Organisations rolling out AI tools that need a consistent, organisation-wide safety baseline in place before or alongside adoption