You describe a difficult work situation and receive a persuasive AI answer. The options are organised and the conclusion sounds confident. Is that enough to act?
In the Information Human concept, digital tools extend our ability to work with information. The person still defines the goal and lives with the consequences. A useful role for AI is to help reveal the task’s structure and questions you may have missed.
Check whether the task is framed correctly
Ask it to state your goal in one sentence. Check whether the answer has replaced your intended outcome with a convenient assumption.
“Change jobs,” for instance, may be only one route to higher income, development or a better schedule. With an unclear goal, even a careful comparison may answer the wrong question.
Divide the answer into three parts
Mark facts, assumptions and recommendations. Check facts against reliable sources, especially for current terms, prices or rules. Compare assumptions with your actual situation. For a recommendation, ask under which conditions it would cease to apply.
Do not share someone else’s private data or internal information without the authority to do so. A generalised example is often sufficient for a learning exercise.
Ask for a strong counterargument
“What is the best reason not to choose this option? What information is missing? What would change the conclusion?” These questions help reveal the answer’s model. They do not turn it into a verified fact.
A persuasive presentation still requires its reasoning to be checked.
Bring the decision back into the real world
Identify one action that reduces uncertainty: talk to a manager, check the terms or run a small trial. Write down what you will do, when and how you will assess the result.
AI can help prepare that plan. Testing it happens where the people, constraints and consequences are real.
Prepared by the editorial team using ideas from the book. The situations are examples created for this journal.
