THE PRACTICE OF ARTIFICIAL INTELLIGENCE FOR THE TIME-ATTENDANCE DETECTION IN A WORKSTATION

Автор(и)

DOI:

https://doi.org/10.35774/

Ключові слова:

GDPR, smart technology, unique identification of employees, the right to personal data protection, consent

Анотація

The research emphasizes the importance of applying theoretical knowledge in legal practice, especially concerning the notion under General Data Protection Regulation (GDPR) Article 9 when legislator, according to paragraph 2, has allowed the use of artificial intelligence based on exceptions provided in «a» and «b» from the prohibition rule under paragraph 1 of the mentioned provision. Due to that, research reveals legal relations concerning unique identification practices in the workplace. Two kinds of legal relations are targeted as examples. The first one involves the time management of employees at the workplace, where the application of the principle of proportionality exemplifies that unique identification can only be practiced if there is a strict necessity. The second one discussed in terms of regulations for implementing devices that use biometric authentication for the access control to premises in workplaces under consent given by the employee.

The research confirms that unique identification in the workplace is acceptable under Article 9 (2, a & b) of the GDPR, but interference with the fundamental right of an employee to the personal data protection in a workstation for unique identification must be legitimate and proportionate to the terms to derogate from the GDPR Article 9 (1). The research suggests installing the advancement of operative interfaces and experienced technology with non-biometric intelligent systems that can deliver ample time tracking in the workplace.

Завантажити

Дані для завантаження поки недоступні.

Біографії авторів

  • Daria Bulgakova, Uppsala University

    Doctor of Laws, Ph.D. in International Law, Visiting scholar, researcher, Law Department, Uppsala University, Sweden,

    Advocate, Dnipropetrovs’k Regional Bar Council,Ukrainian National Bar Association Member

  • Valentyna Bulgakova

    Pedagogue-Methodist of the Highest Category, Supervisor of Scientific Manuscripts

Посилання

Bulgakova, D. (2021). Application of the Principle of Proportionality on Biometric Data Processing in European Union Law. University of International Business and Economics (UIBE), Law Faculty, Doctoral of Laws Degree Dissertation, 1-371 [in English]

Bulgakova, D. (2022). Case Study on the Fingerprint Processing in a Workplace under GDPR Article 9 (2, b). Teisė, 124, 22-38. Retrieved from https://doi.org/10.15388/Teise.2022.124.2 [in English]

Bulgakova, D. (2022). The Protection of Commodified Data in E-Platforms. Analytical and Comparative Jurisprudence, 1 (2022), 208–212. Retrieved from https://doi.org/10.24144/2788-6018.2022.01.39 [in English]

Cefaliello, A. & Kullmann, M. (2022). Offering false security: How the draft artificial intelligence act undermines fundamental workers rights. European Labour Law Journal, 13 (4), 542–562. Retrieved from https://doi.org/10.1177/20319525221114474 [in English]

Warhurst, Ch, Mathieu, Ch. & Dwyer, R. E. (2022). The Oxford handbook of job quality (Chris Warhurst, Chris Mathieu, & Rachel E. Dwyer, Eds.). Oxford University Press [in English]

Georgieff, A. & Hyee, R. (2022). Artificial Intelligence and Employment: New Cross-Country Evidence. Frontiers in Artificial Intelligence, 5, 832736–832736. Retrieved from https://doi.org/10.3389/frai.2022.832736 [in English]

Kassir, S., Baker, L., Dolphin, J. & Polli, F. (2023). Publisher Correction: AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact. Ai and Ethics (Online), 3(1), 345–345. Retrieved from https://doi.org/10.1007/s43681-022-00225-w [in English]

Kuziemski, M. & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44(6), 101976–101976. Retrieved from https://doi.org/10.1016/j.telpol.2020.101976 [in English]

Neace, G. (2019). Biometric privacy: Blending employment law with the growth of technology. The John Marshall Law Review, 53 (1), 73– [in English]

Qiu, H., Li, M., Bai, B., Wang, N. & Li, Y. (2022). The impact of AI-enabled service attributes on service hospitableness: the role of employee physical and psychological workload. International Journal of Contemporary Hospitality Management, 34(4), 1374–1398. Retrieved from https://doi.org/10.1108/IJCHM-08-2021-0960 [in English]

Sowa, K., Przegalinska, A., & Ciechanowski, L. (2021). Cobots in knowledge work; Human -- AI collaboration in managerial professions. Journal of Business Research, 125, 135–. Retrieved from https://doi.org/10.1016/j.jbusres.2020.11.038 [in English]

Upchurch, M. (2018). Robots and AI at work: the prospects for singularity. New Technology, Work, and Employment, 33 (3), 205–218. Retrieved from https://doi.org/10.1111/ntwe.12124 [in English]

Weiss, D., Liu, S. X., Mieczkowski, H. & Hancock, J. T. (2022). Effects of Using Artificial Intelligence on Interpersonal Perceptions of Job Applicants. Cyberpsychology, Behavior and Social Networking, 25(3), 163–168. Retrieved from https://doi.org/10.1089/cyber.2020.0863 [in English]

Завантаження

Опубліковано

13.10.2023

Номер

Розділ

КОНСТИТУЦІЙНЕ ПРАВО. АДМІНІСТРАТИВНЕ ПРАВО І ПРОЦЕС. ФІНАНСОВЕ ПРАВО. ІНФОРМАЦІЙНЕ ПРАВО. МІЖНАРОДНЕ ПРАВО

Як цитувати

Bulgakova, Daria, and Valentyna Bulgakova. “THE PRACTICE OF ARTIFICIAL INTELLIGENCE FOR THE TIME-ATTENDANCE DETECTION IN A WORKSTATION”. Актуальні проблеми правознавства, no. 3, Oct. 2023, pp. 30-38, https://doi.org/10.35774/.

Схожі статті

Ви також можете розпочати розширений пошук схожих статей для цієї статті.