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This textbook opens with a simple question: what does it mean for a machine to think? Bridging philosophy, cognitive science, cybernetics, and machine learning, it connects contemporary advancements in artificial intelligence with foundational debates about mind, perception, and truth. By examining the capabilities and limitations of AI systems – including the phenomenon of AI hallucinations – it interrogates whether machines can truly ‘understand’ or if their intelligence is ultimately an illusion. This interdisciplinary textbook offers a timely exploration of the evolving relationship between humans and intelligent systems, shedding light on how AI challenges and reframes our understanding of cognition, knowledge, and the nature of intelligence itself and contains helpful key concept lists and summaries making it of great use to graduate students and professionals.
Kristina Šekrst acquired a Ph. D. in Logic at the University of Zagreb, along with master’s degrees in Cognitive Linguistics, Philosophy, Comparative Linguistics, and Croatian Language. She teaches philosophical and linguistic courses at the University of Zagreb, and, in parallel, consults as a principal software engineer in the field of artificial intelligence, machine learning and AI ethics, combining academic with industrial expertise. Her industrial work includes providing consultancy for large language models for companies dealing with AI alignment, being a part of the team that discovered AI prompt injections, an issue that shaped the development of large language models. She is a co-author of one linguistics textbook, and an author of over 50 papers and talks in the field of artificial intelligence, philosophy of science and linguistics.
