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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
The name of this method comes from a tentative models of the biological neuron, but artificial neuron networks have nothing to do with human brain, apart from the name. It is, again, simple computation, done very fast on a very large number of inputs. See Sabouret (2020), chapter 12.
- 2.
References
Benhidjeb, A., & Gissinger, G. L. (1995). Fuzzy control of an overhead crane performance comparison with classic control. Control Engineering Practice, 3(12), 1687–1696.
Das, T. K., & Teng, B. S. (1999). Cognitive biases and strategic decision processes: An integrative perspective. Journal of Management Studies, 36(6), 757–778.
European Parliament resolution of 20 January 2021 on artificial intelligence: questions of interpretation and application of international law in so far as the EU is affected in the areas of civil and military uses and of state authority outside the scope of criminal justice. Text Label A9-0001/2021, Wednesday, 20 January 2021, Brussels. https://www.europarl.europa.eu/doceo/document/TA-9-2021-0009_FR.pdf
Gilmore, P. C., & Gomory, R. E. (1964). Sequencing a one state-variable machine: A solvable case of the traveling salesman problem. Operations Research, 12(5), 655–679.
Hodges, A. (2012). Alan Turing: The enigma. Random House.
Jackson, P. (1998). Introduction to expert systems. Addison-Wesley Longman.
Keynote by Edsger Dijkstra (1984). The threats to computing science. Delivered at the ACM 1984 South Central Regional Conference, November 16–18, Austin, TX. https://www.cs.utexas.edu/users/EWD/transcriptions/EWD08xx/EWD898.html
LeCun, Y., & Bengio, Y. (1995). Convolutional networks for images, speech, and time series. The Handbook of Brain Theory and Neural Networks, 3361(10), 1995.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
McKinsey Global Institute. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. https://www.mckinsey.com/~/media/mckinsey/industries/public%20and%20social%20sector/our%20insights/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi%20jobs%20lost-jobs%20gained_report_december%202017.pdf
Sabouret, N. (2020). Understanding artificial intelligence. CRC Press. https://www.routledge.com/Understanding-Artificial-Intelligence/Sabouret/p/book/9780367524357
Samuel, A. L. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 3(3), 210–229.
Shannon, C. (1950). Programming a computer for playing chess. Philosophical Magazine, 41(314).
Simon, H. A. (1990). Bounded rationality. In Utility and probability (pp. 15–18). Palgrave Macmillan.
Turing, A. M. (1950). Computing machinery and intelligence. Mind, New Series, 59(236), 433–460.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Sabouret, N. (2022). What Artificial Intelligence Can Do and What It Cannot Do. In: Bounfour, A. (eds) Platforms and Artificial Intelligence . Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-90192-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-90192-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90191-2
Online ISBN: 978-3-030-90192-9
eBook Packages: Business and ManagementBusiness and Management (R0)