A3 Book section, Chapters in research books
Data obstacles and privacy concerns in artificial intelligence initiatives (2022)
Aslam, B., Karjaluoto, H., & Varmavuo, E. (2022). Data obstacles and privacy concerns in artificial intelligence initiatives. In O. Niininen (Ed.), Contemporary Issues in Digital Marketing (pp. 130-138). Routledge. https://doi.org/10.4324/9781003093909-16
JYU authors or editors
Publication details
All authors or editors: Aslam, Bilal; Karjaluoto, Heikki; Varmavuo, Eevi
Parent publication: Contemporary Issues in Digital Marketing
Parent publication editors: Niininen, Outi
ISBN: 978-0-367-55533-7
eISBN: 978-1-003-09390-9
Publication year: 2022
Publication date: 28/10/2021
Pages range: 130-138
Number of pages in the book: 188
Publisher: Routledge
Place of Publication: Abingdon
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.4324/9781003093909-16
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/84461
Abstract
To become and remain competitive, many companies (especially large ones) are considering capitalising on data-based technologies, such as Artificial Intelligence (AI). However, whether these companies are structurally ready in terms of data collection and management remains unknown. This chapter discusses how privacy issues and reforms, such as the General Data and Protection Regulation (GDPR), affect companies’ AI initiatives and processes. For this purpose, we reviewed the relevant literature and collected empirical data using in-depth interviews with AI and data industry experts in five countries. Our main findings indicated that companies are lacking sound data collection and management practices. We also found that privacy should be at the centre of policies when implementing any data initiatives. Initiatives, such as the GDPR, are helping industries safeguard consumer privacy without causing problems for AI initiatives. Our study will bring clarity to business managers who want to capitalise on data-based AI technology and detail existing academic knowledge streams.
Keywords: enterprises; information flows; person registers; data; big data; artificial intelligence; data protection; protection of privacy; Data Protection Act
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2022
JUFO rating: 3
Parent publication with JYU authors: