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Perception of privacy and data protection in the context of the development of artificial intelligence

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  • Grzegorz Mazurek
  • Karolina Małagocka

Abstract

Customer privacy perception and the principles of its regulatory protection determine how the tech sector is operating, striking a new balance between economic winners and losers. Nevertheless, not all countries that are leaders in the latest technologies are strongly in favor of flexible and pro-business regulations. This can be clearly seen in the field of artificial intelligence (AI). Self-regulation as a key strategic approach to AI may be seen as an essential factor of broader implementation of AI solutions. The purpose of this paper is to present approaches to AI while indicating the differences that result from the understanding of privacy, increasing customers privacy concerns and regulations related to data privacy which come together with official administrative strategies. The impact of AI implementation on relationships between customers and companies has been emphasized and analyzed in the context of regulations and customer perception of privacy.

Suggested Citation

  • Grzegorz Mazurek & Karolina Małagocka, 2019. "Perception of privacy and data protection in the context of the development of artificial intelligence," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 344-364, October.
    • Handle: RePEc:taf:tjmaxx:v:6:y:2019:i:4:p:344-364
    DOI: 10.1080/23270012.2019.1671243
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    Cited by:

    1. Yongdang Chen & Zhiyou Han & Kunyu Cao & Xianrong Zheng & Xiaobo Xu, 2020. "Manufacturing upgrading in industry 4.0 era," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 766-771, July.
    2. Ting Hou & Baihua Cheng & Rongxiao Wang & Wei Xue & Peggy E. Chaudhry, 2020. "Developing Industry 4.0 with systems perspectives," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 741-748, July.
    3. James Lappeman & Siddeeqah Marlie & Tamryn Johnson & Sloane Poggenpoel, 2023. "Trust and digital privacy: willingness to disclose personal information to banking chatbot services," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 337-357, June.
    4. Song, Mengmeng & Xing, Xinyu & Duan, Yucong & Cohen, Jason & Mou, Jian, 2022. "Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    6. Baoshan Ge & Qi Wang & Meifang Yao, 2022. "From ideas to entrepreneurial opportunity: A study on AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 618-632, May.
    7. Victoria Stanciu & Sinziana-Maria Rindasu, 2021. "Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-46, February.
    8. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
    9. Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.

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