Economic Cybernetics Department
ERI of Business, Economics and Management of SumDU

Be careful with artificial intelligence: how to avoid fabricated facts

Artificial intelligence has become an indispensable tool for students and analysts, but it has a tricky feature – ‘hallucinations.’ These are situations where a neural network confidently presents fabricated facts as truth ❌📚. For specialists in economic cybernetics, data accuracy is critical ✅, so understanding the nature of these errors is a matter of professional competence 💼.

It is important to understand that AI does not have access to the ‘truth’ and does not think like a human 🧠🙅‍♂️. It is, in essence, ‘autocomplete on steroids.’ The system does not know the facts – it only predicts the most likely next word based on millions of processed texts. If there are enough patterns in its database, it creates a convincing illusion of knowledge, which sometimes turns out to be complete fiction 🎭.

How to work with AI safely? Here are 4 golden rules:

🔍 Check every number and link. Never copy data from AI directly into your coursework or project. If a neural network cites a quote or study, find the original source yourself. AI often invents titles of articles that never existed.

✍️ Make your requests as specific as possible. The more general the question, the higher the risk of hallucination. Instead of ‘Tell me about data analysis,’ ask, ‘Describe three specific methods for cleaning unstructured data in Python with examples of libraries.’

🧠 Ask for an explanation of the logic. Add the phrase ‘Justify your answer and indicate the principles on which this conclusion is based’ to the prompt. This forces the system to construct a coherent chain of arguments, reducing the likelihood of error.

🤝 AI is an assistant, not an expert. Use artificial intelligence to structure ideas, brainstorm, or write code drafts. But remember: the final responsibility for the accuracy of the result always lies with you.

Digital literacy today is not only about knowing how to use tools, but also about being able to critically evaluate their results 🔎🧩. It is the combination of human analytical thinking and the capabilities of artificial intelligence that allows us to obtain high-quality, reliable, and useful results 🚀

Information prepared based on materials from ChatGPT Academy: https://happymonday.ua/chomu-shtuchnyi-intelekt-vyhaduie-fakty