AI's Biggest Challenge: Maintaining Human Thought, Says Professor

The greatest challenge posed by artificial intelligence is not about machines taking over humanity, but about the risks embedded in everyday applications, according to Mykolas Romeris University professor Paulius Pakutinskas. He highlighted that AI systems are increasingly used in critical areas such as employee selection, credit scoring, and public services. Even minor algorithmic errors in these fields can significantly impact people's lives.

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When a person makes decisions, their subjectivity is not consistently replicated throughout the system. Meanwhile, an algorithmic error can be massively reproduced and affect many people.

Professor Pakutinskas pointed out that AI can amplify existing forms of discrimination. If algorithms contain flawed assessment criteria, their impact can affect millions simultaneously. Unlike human subjectivity, which is not consistently replicated, algorithmic errors can be massively reproduced, affecting numerous individuals. This underscores the need for careful development and oversight.

UNESCO, an organization often associated with cultural heritage, is actively involved in AI ethics. Professor Pakutinskas explained that the technology's societal impact necessitates international agreement on shared values and responsible use principles. UNESCO's recommendations are recognized by its member states and help shape a global perspective on AI development. He stressed that responsible AI use involves not only technological solutions but also a shared understanding of ethical values.

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When we talk about artificial intelligence, not only technological solutions are important, but also a common understanding of what values we should adhere to.

Regarding AI regulation, particularly in Europe, the focus is on balancing innovation with human rights. Professor Pakutinskas clarified that the European Union prioritizes ensuring technological progress does not come at the expense of human rights. This approach particularly emphasizes areas where AI can significantly influence an individual's ability to secure employment, education, or other vital services. He also corrected a common misconception, stating that regulation targets the application of AI in specific contexts, not the technologies themselves.

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This is not the regulation of technology. It is the regulation of the application of technology.