It is crucial to understand artificial intelligence (AI) at a basic level: that it learns from the data it processes, and that biases can emerge in these models. Many AI tools can be used for both beneficial and harmful purposes. This is why regulation is essential—such as the European Union’s AI legislation, which is now being implemented in Poland. These regulations aim to protect individuals who may be unfairly assessed by AI, for example during recruitment processes or in medical evaluations.
The stakes are high and demand attention. It’s important not to forget when AI is being used, and to have a fundamental grasp of how it works. Much like browsing the internet—where one encounters both fake news and valuable information—users must think critically when interacting with AI language models, which can sometimes provide inaccurate or misleading responses.
“I strongly believe we should not fear artificial intelligence—but we should be concerned if we don’t understand it,” said Pamela Krzypkowska, Director of the Department for Research and Innovation at the Ministry of Digital Affairs, in an interview with eNewsroom.pl during the EFNI Spring 2025 event.
“It’s not about having high-level technical knowledge,” she explained, “but simply being aware that we are using this technology. It’s important to realize that the information we receive is drawn from a database selected by an algorithm based on our past behaviors—like the content we’ve liked or interacted with.”
Krzypkowska emphasized that AI itself is not frightening. What matters is understanding how and why we use it. Society must remain innovative and open to the opportunities this technology offers. At the same time, we cannot allow its development to proceed without guardrails. Safety regulations are essential—for both citizens and democracy.
She also addressed the growing concern that new technologies may be making us, in some ways, “less intelligent.” This sentiment is not new: it has always been said that food tasted better and people thought more deeply in the past. “That’s why we must stay alert and verify whether the information we receive is true,” Krzypkowska concluded.
Source: ManagerPlus.pl