Bauman Career Center Explains How to Make AI an Effective Assistant
Guidelines from BMSTU’s career center outline how students and professionals can use AI tools without losing critical understanding
More than 60% of people use artificial intelligence as a tool in education and work, according to available data. From preparing projects and solving case studies to writing text, neural networks are widely used across tasks. During internships and job interviews, however, evaluators focus not on whether AI was used, but on whether candidates understand the output and can build on it. The Career Center at Bauman Moscow State Technical University has compiled recommendations to help users work with AI more effectively.
Where AI Is Most Useful
Artificial intelligence is particularly effective in the early stages of a task. It can quickly provide context, outline key approaches, and suggest a structure for solving a problem. This is especially useful when someone is tackling a new topic and does not know where to begin. AI tools are also effective at breaking down complex information, simplifying text, highlighting key points, and comparing different approaches.
According to the center, employers rarely ask directly whether a candidate used AI. However, this can be inferred through follow-up questions. For example, interviewers may ask: “Why did you choose this approach? What alternatives did you consider? What are the limitations of your solution?” If a candidate struggles to answer, it suggests the task was not fully understood. For this reason, AI is best used not to shortcut the work, but to deepen understanding of the material.
How to Strengthen Results With AI
One of the most effective approaches is to ask AI follow-up questions after the first response. For example, users can request a step-by-step breakdown, identify weaknesses, explore alternative options, or ask for complex ideas to be explained in simpler terms. This mirrors how teams typically discuss and refine solutions, resulting in more robust outcomes.
In most cases, however, AI produces generalized answers that lack the context of a specific task. Users need to add details from their own experience, reference specific tools or technologies, and tailor the solution to the problem at hand. This is what distinguishes a thoroughly developed result from a superficial one.
The center emphasizes that AI can speed up work, but it does not replace human effort. In education, internships, and job interviews, evaluators assess depth of understanding and the ability to turn results into practical outcomes. Using AI effectively requires keeping that distinction in mind.
Earlier, it was reported that Russia plans to assess the effectiveness of AI adoption in science and education.
