The Dilemma of Innovation–Artificial Intelligence Trade-Off

Mieczysław Muraszkiewicz

Abstract

Dialectic that confronts pros and cons is a long-time methodology pursued for a better understanding of old and new problems. It was already practiced in ancient Greece to help get insight into the current and expected issues. In this paper we make use of this methodology to discuss some relationships binding innovation, technology and artificial intelligence, and culture. The main message of this paper is that even sophisticated technologies and advanced innovations such as for example those that are equipped with artificial intelligence are not a panacea for the increasing contradictions, problems and challenges contemporary societies are facing. Often we have to deal with a trade-off dilemma that confronts the gains provided by innovations with downsides they may cause. We claim that in order to resolve such dilemmas and to work out plausible solutions one has to refer to culture sensu largo.
Author Mieczysław Muraszkiewicz (FEIT / IN)
Mieczysław Muraszkiewicz,,
- The Institute of Computer Science
Pages29-40
Publication size in sheets0.55
Book Bembenik Robert, Skonieczny Łukasz, Protaziuk Grzegorz M., Kryszkiewicz Marzena, Rybiński Henryk (eds.): Intelligent Methods and Big Data in Industrial Applications, Studies in Big Data, vol. 40, 2019, Springer International Publishing, ISBN 978-3-319-77603-3, [978-3-319-77604-0], 376 p., DOI:10.1007/978-3-319-77604-0
Keywords in Englishtechnology, innovation, artificial intelligence, intelligence explosion, culture.
DOIDOI:10.1007/978-3-319-77604-0_3
URL https://www.springer.com/la/book/9783319776033
projectDevelopment of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Arabas Jarosław, , Phone: +48 22 234 7432, start date 01-06-2017, end date 31-10-2018, II/2017/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
File
20170026.pdf 296.16 KB
Score (nominal)15
ScoreMinisterial score = 15.0, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, BookChapterSeriesAndMatConf
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