 The Valuation of Artificial IntelligenceRoberto Moro-Visconti ()
Chapter Chapter 7 in Artificial Intelligence Valuation, 2024, pp 405-506 from Springer Abstract: Abstract AI allows us to think and act humanely and rationally through hardware systems and software programs capable of providing performances that, to an ordinary observer, would seem to be the exclusive domain of natural (human) intelligence. The applications are more and more extensive, thanks also to the big data available today and the ability of self-learning (machine learning) or instead to the synergies with natural intelligence, which for vision and flexibility remains irreplaceable. The examination of the business models of the companies that base their strategies on AI or, more extensively, of the traditional companies using specific applications, is preliminary to a framework of the legal problems (still pioneering) and of the profiles of economic evaluation. Keywords: Machine learning; Big data; Problem-solving; Neural networks; Probabilistic reasoning; Computer vision; Augmented reality; Virtual reality; Natural language processing (NLP); Deep learning; Autonomous driving; Human performance; Expert systems; Image recognition (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-53622-9_7 Ordering information: This item can be ordered from DOI: 10.1007/978-3-031-53622-9_7 Access Statistics for this chapter More chapters in Springer Books from Springer |
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