The use of neurotechnologies at work: surveillance, productivity and labor rights
Keywords:
neurotechnologies, labor surveillance, cognitive privacy, labor productivity, labor rightsAbstract
Introduction: Neurotechnologies have expanded their field of application beyond the clinical field, being progressively incorporated into work environments as part of digitalization and data-based management processes. These technologies allow cognitive variables to be monitored, which generates expectations of improvement in productivity, but also ethical and legal concerns related to labor surveillance, cognitive privacy, and workers' rights. Methodology: The research was developed under a qualitative, descriptive and interpretative approach, using thematic analysis. The sample was intentional and defined by theoretical saturation, including professionals linked to labor management, labor law specialists, and workers with experience in environments with technological monitoring. Semi-structured interviews and documentary analysis were used, applying criteria of qualitative rigor such as triangulation and validation by experts. Results: The results show ambivalent perceptions about the use of neurotechnologies in the workplace. These are accepted when associated with security and error prevention, but generate resistance when used to evaluate individual performance. Neurocognitive surveillance is perceived as highly intrusive, affecting autonomy, increasing work stress and evidencing conditional consent and regulatory gaps. Discussion: The findings confirm that neurosurveillance intensifies the tensions inherent in traditional electronic monitoring, deepening debates about cognitive privacy and organizational control. Conclusions: It is concluded that the use of neurotechnologies at work requires clear ethical and regulatory frameworks that protect labor rights and avoid the normalization of cognitive control.
References
Borton, D. A., Dawes, H. E., Worrell, G. A., Starr, P. A., & Denison, T. J. (2020). Developing collaborative platforms to advance neurotechnology and its translation. Neuron, 108(2), 286–301. https://doi.org/10.1016/j.neuron.2020.10.001
Bublitz, C., Molnár-Gábor, F., & Seokadar, S. R. (2024). Implications of the novel EU AI Act for neurotechnologies. Neuron, 112(18), 3013–3016. https://doi.org/10.1016/j.neuron.2024.08.011
Dingita, O., Nomura, K., Higashimaki, T., Abe, R., Ueda, K., Ishii, H., Shimoda, H., & Obayashi, F. (2025). Systematic visual stimuli micro-refresh evaluation on cognitive work performance. Displays, 90, 103116. https://doi.org/10.1016/j.displa.2025.103116
Doya, K., Ema, A., Kitano, H., Sakagami, M., & Russell, S. (2022). Social impact and governance of AI and neurotechnologies. Neural Networks, 152, 542–554. https://doi.org/10.1016/j.neunet.2022.05.012
Fukushi, T. (2024). East Asian perspective of responsible research and innovation in neurotechnology. IBRO Neuroscience Reports, 16, 582–597. https://doi.org/10.1016/j.ibneur.2024.04.009
Garden, H., Bowman, D. M., Haesler, S., & Winickoff, D. E. (2016). Neurotechnology and society: Strengthening responsible innovation in brain science. Neuron, 92(3), 642–646. https://doi.org/10.1016/j.neuron.2016.10.053
Jiang, H., Tsohou, A., Siponen, M., & Li, Y. (2020). Examining the side effects of organizational internet monitoring on employees. Internet Research, 30(6), 1613–1630. https://doi.org/10.1108/INTR-08-2019-0360
Juárez-Varón, D., Esquivel Gadón, R. E., Mengual-Recuerdo, A., & Vera-Sepúlveda, C. (2024). Neurotechnologies applied to society’s perception of cyber-physical systems (CPS) in smart cities. International Journal on Semantic Web and Information Systems, 20(1), 1–20. https://doi.org/10.4018/IJSWIS.335947
Kissi, P. S. (2025). Data-driven culture analytics capability and road transport service quality: The differing impacts of employee cognitive and emotional empathy. African Transport Studies, 3, 100051. https://doi.org/10.1016/j.aftran.2025.100051
Lei, Q., Yuan, C., & Lau, S. Y. (2021). A quantitative study for indoor workplace biophilic design to improve health and productivity performance. Journal of Cleaner Production, 324, 129168. https://doi.org/10.1016/j.jclepro.2021.129168
Magee, P., Ienca, M., & Farahany, N. A. (2024). Beyond neural data: Cognitive biometrics and mental privacy. Neuron, 112(18), 3017–3028. https://doi.org/10.1016/j.neuron.2024.09.004
Mudgal, S. K., Sharma, S. K., Chaturvedi, J., & Sharma, A. (2020). Brain–computer interface advancement in neurosciences: Applications and issues. Interdisciplinary Neurosurgery, 20, 100694. https://doi.org/10.1016/j.inat.2020.100694
Muhl, E. (2024). The challenge of wearable neurodevices for workplace monitoring: An EU legal perspective. Frontiers in Human Dynamics, 6, 1473893. https://doi.org/10.3389/fhumd.2024.1473893
Muhl, E., & Andorno, R. (2023). Neurosurveillance in the workplace: Do employers have the right to monitor employees’ minds? Frontiers in Human Dynamics, 5, 1245619. https://doi.org/10.3389/fhumd.2023.1245619
Meyvanli, M., Ardi, A., Berlianto, M. P., & Sunarjo, R. A. (2025). Strengthening job performance through social cognitive factors: The roles of self-efficacy, work engagement, and knowledge-oriented leadership. Social Sciences & Humanities Open, 12, 101999. https://doi.org/10.1016/j.ssaho.2025.101999
Pütz, S., Rick, V., Mertens, A., & Nitsch, V. (2022). Using IoT devices for sensor-based monitoring of employees’ mental workload: Investigating managers’ expectations and concerns. Applied Ergonomics, 102, 103739. https://doi.org/10.1016/j.apergo.2022.103739
Rigamonti, E., Colaciovo, B., Gastaldi, L., & Corso, M. (2025). HR analytics and the data collection process: The role of attributions and perceived legitimacy in explaining employees’ fear of datafication. Journal of Organizational Effectiveness: People and Performance, 12(5), 1–23. https://doi.org/10.1108/JOEPP-06-2023-0246
Ruiz, S., Valera, L., Ramos, P., & Sitaram, R. (2024). Neurorights in the constitution: From neurotechnology to ethics and politics. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1915), 20230098. https://doi.org/10.1098/rstb.2023.0098
Siegel, R., König, C. J., & Jörg, J. (2025). An expanded view on electronic monitoring: Testing moderating effects of participation and perceived purposes of electronic monitoring. Telematics and Informatics Reports, 19, 100245. https://doi.org/10.1016/j.teler.2025.100245
Szoszkiewicz, Ł. (2025). Mental privacy: Navigating risks, rights and regulation. EMBO Reports, 26, e3469. https://doi.org/10.1038/s44319-025-00505-6
Vitale, F., Gelinas, J. N., & Cabrera, L. Y. (2022). Neurotechnology: Bridging the dialogue between engineers, material scientists, clinicians, and ethicists. iScience, 25(11), 105432. https://doi.org/10.1016/j.isci.2022.105432
Wimmer, M. (2022). Foreword: Advancements and challenges for Latin American AI and data governance. Computer Law & Security Review, 47, 105759. https://doi.org/10.1016/j.clsr.2022.105759
Wolff, M. S., White, J. C., Abraham, M., Schnabel, C., Wieser, L., & Niessen, C. (2024). The threat of electronic performance monitoring: Exploring the role of leader–member exchange on employee privacy invasion. Journal of Vocational Behavior, 154, 104031. https://doi.org/10.1016/j.jvb.2024.104031
Xie, F., Zhang, X., Ye, J., Zhou, L., Zhang, W., & Tian, F. (2023). Understanding the role of customer incivility and supervisor monitoring in the relationship between customer orientation and frontline employees’ emotional exhaustion. Journal of Service Theory and Practice, 33(6), 796–819. https://doi.org/10.1108/JSTP-12-2022-0273
Yeke, S. (2023). Digital intelligence as a partner of emotional intelligence in business administration. Asia Pacific Management Review, 28(4), 390–400. https://doi.org/10.1016/j.apmrv.2023.01.001
Yokomitsu, K., Oimatsu, R., Toh, S. H. Y., & Sündermann, O. (2025). Assessing the efficacy of the INTELLECT cognitive behavioral therapy mobile app for anxiety and depressive symptoms among at-risk Japanese employees: Randomized controlled trial. JMIR mHealth and uHealth, 13, e60871. https://doi.org/10.2196/60871
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