Facial Recognition Technology: College Students’ Perspectives in the US
Keywords:
Facial Recognition Technology (FRT), College Students’ Perspectives, Privacy and Ethics, Regulatory Oversight, Technology AcceptanceAbstract
This paper examines U.S. college students’ perspectives on Facial Recognition Technology (FRT), a pivotal element in digital advancements with broad applications from security to administrative efficiency. Amidst the significant growth in the FRT sector and emerging concerns over privacy and ethical issues, this study explores the nuanced views of students through surveys, focus groups, and interviews. The findings reveal a conditional acceptance of FRT, balanced by privacy concerns and a call for regulatory oversight. Despite its insights, the study acknowledges limitations in demographic representation and depth of understanding. The conclusion emphasizes the need for ongoing research and a balanced approach to FRT, considering the evolving societal implications and privacy challenges.
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Nilsson, N. J. (2009). The Quest for Artificial Intelligence: Illustrated Edition. Cambridge University Press.
Credence Research. (2024). https://www.credenceresearch.com/report/facial-recognition-market (Accessed by Jun 30, 2024).
Huszti-Orbán, K., & Ní Aoláin, F. (2020). Use of Biometric Data to Identify Terrorists: Best Practice or Risky Business? Re-trieved from https://www.ohchr.org/sites/default/files/Documents/Issues/Terrorism/biometricsreport.pdf (Accessed by Jun 30, 2024).
Flynn, S. (2020). 13 cities where police are banned from using facial recognition tech. InnoTech Today. Retrieved from https://innotechtoday.com/13-cities-where-police-are-banned-from-using-facial-recognition-tech/(Accessed by Jun 30, 2024).
Hill, K. (2024). Clearview AI used your face. Now you may get a stake in the company. The New York Times. Retrieved from https://www.nytimes.com/2024/06/13/business/clearview-ai-facial-recognition-settlement.html (Accessed by Jun 30, 2024).
D’Agostino, S. (2024). Facial recognition heads to class. Will students benefit? Inside Higher Ed. Retrieved from https://www.insidehighered.com/news/tech-innovation/teaching-learning/2024/02/27/facial-recognition-heads-class-will-students
Fergus, R. (2024). Facial recognition remains largely ungoverned - and dangerous - in Minnesota. ACLU Minnesota. Re-trieved from https://www.aclu-mn.org/en/news/biased-technology-automated-discrimination-facial-recognition
Lively, T. K. (2021, December 1). Facial recognition in the United States: Privacy concerns and legal developments. Security Technology. Retrieved from https://www.asisonline.org/security-management-magazine/monthly-issues/security-technology/archive/2021/december/facial-recognition-in-the-us-privacy-concerns-and-legal-developments/
Lostri, E. (2020). Washington’s new facial recognition law. CSIS. https://www.csis.org/blogs/technology-policy-blog/washingtons-new-facial-recognition-law
Quinlan, K. (2023). California privacy committee passes flawed facial-recognition bill, citing need for action. StateScoop. https://statescoop.com/california-facial-recognition-bill-passes/
Ghaffary, S. (2019). San Francisco’s facial recognition technology ban, explained. Vox. https://www.vox.com/recode/2019/5/14/18623495/san-francisco-facial-recognition-ban-explained
Wuthmann, W. (2023). Mass. bill would curb police use of facial recognition technology. WBUR. https://www.wbur.org/news/2023/11/21/mass-bill-curb-police-facial-recognition-technology DOI: https://doi.org/10.12968/S0969-4765(23)70689-9
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Copyright (c) 2024 Yi Wu
This work is licensed under a Creative Commons Attribution 4.0 International License.