August 14, 2025Open Access

What Artificial Intelligence Is Missing – and Why It Cannot Attain It Under Current Paradigms

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Current artificial intelligence lacks consciousness and autonomous motivation, limiting its efficacy in truly understanding the world.
The study identifies an ontological divide between simulated intelligence and lived experiences, highlighting philosophical concerns.
Using a comparative ontological analysis, the research grounds its findings in cognitive science and systems theory.
This perspective calls for a paradigm shift that explores the true nature of intelligence and consciousness, emphasizing deeper principles.

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Critical analysis reveals gaps in artificial intelligence regarding consciousness and motivation, suggesting new paradigms for AGI development.

Pavel Straňák (2025) studied this question.

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Critical analysis reveals gaps in artificial intelligence regarding consciousness and motivation, suggesting new paradigms for AGI development.