What Artificial Intelligence Can Do and What It Cannot Do

Nicolas Sabouret ()
Additional contact information
Nicolas Sabouret: Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Université Paris-Saclay, CNRS

A chapter in Platforms and Artificial Intelligence, 2022, pp 183-192 from Springer

Abstract: Abstract Artificial Intelligence (AI) is not the solution to everything. It is important to understand that computational models in general and AI in particular face some limitations. Overcoming these limitations requires a lot of human expertise. As a consequence, AI systems are largely made of human intelligence. This chapter gives an overview of how AI programs work, what they can do and what are their limitations. It discusses the relation of such platforms to human skills.

Keywords: Artificial intelligence; History of AI; Computer science; Machine learning; Limits of AI (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-90192-9_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030901929

DOI: 10.1007/978-3-030-90192-9_8

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().