Protecting Data in an AI-Enabled Workplace
AI tools can be genuinely useful when we provide context—but more context can also mean greater exposure. A customer note, student email, résumé, troubleshooting log, or internal document may contain information entrusted to us by someone else. The professional question is not simply, “Is this private?” It is, “Am I authorized to use this information in this way?” Before sharing anything with AI, we need to pause, minimize what we provide, and consider whose information is at stake.
AI Can Recommend. Humans Still Have to Answer
AI can generate recommendations, identify risks, and help professionals work through complex information. But it cannot carry the consequences of the decisions that follow. As AI becomes part of workplace decision-making, students need more than technical skill: they need the judgment, authority, and professional courage to question a recommendation, recognize its limits, and take responsibility for how it is used.
Making AI Use Visible in Professional Work
As AI becomes part of everyday professional work, simply saying that it was used is no longer enough. Responsible practice requires documenting what AI contributed, how its output was evaluated, what decisions remained human, and who accepts responsibility for the final result.