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 editorsAslam, Bilal; Karjaluoto, Heikki; Varmavuo, Eevi

Parent publicationContemporary Issues in Digital Marketing

Parent publication editorsNiininen, Outi

ISBN978-0-367-55533-7

eISBN978-1-003-09390-9

Publication year2022

Publication date28/10/2021

Pages range130-138

Number of pages in the book188

PublisherRoutledge

Place of PublicationAbingdon

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.4324/9781003093909-16

Publication open accessOpenly available

Publication channel open accessOpen 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.


Keywordsenterprisesinformation flowsperson registersdatabig dataartificial intelligencedata protectionprotection of privacyData Protection Act


Contributing organizations


Ministry reportingYes

Reporting Year2022

JUFO rating3


Last updated on 2024-26-03 at 09:20