Preprint / Version 1

Ethics of Facial Recognition Within Businesses

##article.authors##

  • Vedika Srivastava Polygence

DOI:

https://doi.org/10.58445/rars.815

Keywords:

Facial Recognition, Artificial intelligence, computer science

Abstract

In today’s society, technology has changed the way in which we perceive our lives and daily tasks. Artificial intelligence is one of the most influential technological innovations that has established a strong foothold in our world. While artificial intelligence has created many possibilities in the fields of computer science, business, and medicine, its imperfections must be addressed in order to move forward. Some of these imperfections reflect racial and gender biases that have created controversy in the realm of ethics and philosophy. In other words, artificial intelligence encourages discriminatory practices: this discrimination is most prominent in facial recognition. Therefore, in this research paper, I want to explore the extent to which biases within facial recognition can be eliminated. In order to get a better understanding of this matter, I will find various case studies involving business corporations to assess the true effects of biases within facial recognition. In addition to this, I will conduct a survey to gather specific data from those who have experience with artificial intelligence. From my research, I expect to find that while biases within facial recognition can be eliminated, it cannot be removed completely. As a result, businesses will need to discover a work around to deal with the issue at hand. 

References

Ahmed, O. M., Li, Y., & Hadaegh, A. (2021). A Smart Receptionist Implementing Facial Recognition and Voice Interaction. International Journal of Image Processing [IJIP], 15(3), 37+. https://link.gale.com/apps/doc/A687005450/AONE?u=anon~445ad75a&sid=bookmark-AONE&xid=5915f2dc

Cooney, M. (2011). Facial recognition security, privacy issues grab FTC attention: Facial recognition technology on the rise as governments increase use; Facebook, Microsoft implement it. Network World (Online), https://www.proquest.com/trade-journals/facial-recognition-security-privacy-issues-grab/docview/894040725/se-2

Dijmărescu, I., Iatagan, M., Hurloiu, I., Geamănu, M., Rusescu, C., & Dijmărescu, A. (2022). Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models. Oeconomia Copernicana, 13(1), 225-250. https://doi.org/10.24136/oc.2022.007

EPIC TO NY CITY COUNCIL: PASS BILLS BANNING FACIAL RECOGNITION IN BUSINESSES AND HOUSING. (2023, May 3). States News Service, NA. https://link.gale.com/apps/doc/A748192587/AONE?u=anon~445ad75a&sid=bookmark-AONE&xid=ad49a9e4

Fleischer, R. S. (2020). BIAS IN, BIAS OUT: WHY LEGISLATION PLACING REQUIREMENTS ON THE PROCUREMENT OF COMMERCIALIZED FACIAL RECOGNITION TECHNOLOGY MUST BE PASSED TO PROTECT PEOPLE OF COLOR. Public Contract Law Journal, 50(1), 63-89. https://www.proquest.com/scholarly-journals/bias-out-why-legislation-placing-requirements-on/docview/2478257667/se-2

Frascella, C. (2021). Amazon Ring Master of the Surveillance Circus. Federal Communications Law Journal, 73(3), 393-422. https://www.proquest.com/scholarly-journals/amazon-ring-master-surveillance-circus/docview/2584597374/se-2

Janofsky, A. (2019). Business Groups Push Back Against Proposed Facial-Recognition Bans; ‘Moratorium on the use of facial recognition technology would be premature and have unintended consequences'. WSJ Pro.Cyber Security, https://www.proquest.com/trade-journals/business-groups-push-back-against-proposed-facial/docview/2310220684/se-2

Mehta, D., Mohammad Faridul, H. S., & Javaid, A. Y. (2018). Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality. Sensors, 18(2), 416. https://doi.org/10.3390/s18020416

Olszewski, T. D., Van Pay, L. M., Ortiz, J. F., Swiersz, S. E., & Dacus, L. A. (2022). Recommendations Submitted to the Biometric RFI. In Synopsis of Responses to OSTP’s Request for Information on the Use and Governance of Biometric Technologies in the Public and Private Sectors (pp. 29–36). Institute for Defense Analyses. http://www.jstor.org/stable/resrep40551.13

VERIDIUM AND JUMIO PARTNER ON BIOMETRIC IDENTITY. (2021). Computer Security Update, 22(6), 6–8. https://www.jstor.org/stable/48616076

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Posted

2023-12-24