Introduction
Biometrics typically refer to technologies that are used to
measure and analyse unique characteristics of an individual which are generally
considered innate, immutable and distinctive to that individual (Du et al.,
2011; Magnet, 2011; Moradoff, 2010, cited in Holland & Tham,
2020).
Biometric
recognition technologies are becoming a common feature of the workplace all
over the world. While there are many types of biometrics for authentication,
the five most common types of biometric identifiers are fingerprints, facial,
voice, iris, and palm or finger vein patterns.
Bio-Metric Date and related security risks
This video showcases Bio-Metric
Data and highlights the associated security risks.
(DW Shift, 2019)
The types of biometrics can be grouped into two main categories:
1. Physiological biometrics are characteristics or measurements of the human body.
2. Behavioral biometrics refers to the unique way a person performs a certain behaviour, like giving a signature. (Optimal IdM, n.d.)
Importance of Safeguarding Biometric Data
The safeguarding of biometric data, such as fingerprints, is becoming an important area in Human Resource Management (HRM). As the implementation of biometric systems for employee attendance and other work-related purposes continues to increase, organizations are encountering novel challenges concerning the collection, storage, and protection of such data.
Many countries have regulations
concerning the utilization of biometric data, facial recognition, fingerprints,
and other comparable technologies. To avoid overstepping employee privacy
rights, organizations are obligated to conform to these regulations.
The possession of an employee’s
biometric data could be used to gain access to his or her electronic devices,
which typically store a host of personal information, his or her financial and
medical records, and even the employee’s home. Many employers that use
biometric authentication technology use third-party vendors to handle the
resulting data in some capacity, increasing the risk of theft of such data.
This risk is likely to be even greater in employment environments involving
highly confidential information, such as financial institutions, medical
facilities and government offices. (Bradley Arant Boult Cummings LLP,
2019)
Conclusion
The Human Resource Departments of every organization must consider the necessity and appropriateness of using biometric data such as fingerprint attendance systems for employees. This consideration should include a thoughtful evaluation of the privacy implications involved. In situations where there is a lack of protection for biometric data within the organization, alternative methods for tracking attendance, such as QR codes or mobile applications, could be more suitable.
REFERENCES:
Bradley Arant Boult Cummings LLP. (2019). Technology at
a Price: Risks with Using Biometric Scanning in the Workplace. Available
at https://www.bradley.com/insights/publications/2019/02/technology-at-a-price-risks-with-using-biometric-scanning-in-the-workplace. [Accessed: 26 March 2023]
DW Shift (2019) How secure is Biometric Authentication Technology and Biometric Data? [Video] Available at https://www.youtube.com/watch?v=ZPG3XQhZVII [Accessed: 27 March 2023].
Holland, P. and Tham, T.L., (2022). Workplace biometrics: Protecting employee privacy one fingerprint at a time. Economic and Industrial Democracy, 43(2), pp.501-515. https://doi.org/10.1177/0143831X20917453
Optimal IdM. (n.d.). Types
of biometric sensors. Available at https://optimalidm.com/resources/blog/types-of-biometrics-sensors/#:~:text=While%20there%20are%20many%20types,palm%20or%20finger%20vein%20patterns.
[Accessed: 27 March 2023].

