When AI starts influencing decisions, accountability can quickly become unclear. If an algorithm screens a candidate, flags an employee, or makes a recommendation that leads to harm, who is actually responsible: the system, the vendor, or the people who deployed it? For many organizations, these questions don’t come up until something goes wrong. This session takes a practical, human look at risk and responsibility in an AI-driven workplace. We’ll explore how leaders can define ownership, put safeguards in place, and make sure there are real people accountable when AI is involved in high-stakes decisions.