IFSM 304 Week 6 Discussion (3)

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IFSM 304 Week 6 Discussion A significant ethical issue that IT organizations face today is the responsible use of emerging technologies such as biometrics and facial recognition. These technologies offer immense potential for enhancing security, improving user experience, and enabling innovative applications. However, they also raise profound ethical concerns related to privacy, surveillance, consent, and potential misuse. One example of this ethical issue is the widespread deployment of facial recognition systems by governments, law enforcement agencies, and private companies. While these systems can be used for legitimate purposes such as enhancing security and identifying criminals, there are concerns about their potential for misuse and abuse. Facial recognition technology has the capacity to track individuals' movements and activities in public spaces without their knowledge or consent, raising serious privacy and civil liberties concerns. Only one state, Illinois, has legislation permitting private individuals to sue and seek compensation for improper usage and or access to their biometric data, which includes faceprints (Almeida et al., 2022). Furthermore, there is evidence to suggest that facial recognition systems exhibit biases, particularly against marginalized communities such as people of color and women. Biases in facial recognition algorithms can lead to false identifications and wrongful accusations, further exacerbating existing inequalities and injustices within society. One instance can be found in a 2018 article released by The Verge, where Liao describes an occurrence from China in which a facial recognition system erroneously identified and publicly accused a renowned businesswoman of jaywalking, even though she had never been at the site of the incident. Additionally, there are concerns about the lack of transparency and accountability surrounding the development and deployment of facial recognition technology, as well as the potential for mass surveillance and erosion of individual freedoms. Since its inception, this technology has grappled with unreliability stemming from various flaws. Facial recognition technology exhibited flaws during the unveiling of the iPhone X in 2017 (Pogue, 2017). Craig Federighi, Apple's senior vice president of software engineering, experienced embarrassment when discussing this feature as it failed during his demonstration. Despite being seven years removed from that event and having resolved the issue, what

prevents another glitch or external threat from compromising this technology? Another related issue is the collection and use of biometric data for commercial purposes, such as for authentication and personalized advertising. Biometric data, including fingerprints, iris scans, and voiceprints, is highly sensitive and unique to individuals, raising concerns about its security and potential for misuse. Companies are driven by profit-making motives, thus IT organizations offering this technology must grapple with the ethical dilemma of whether to permit the use of biometrics and facial recognition technology for financial gain. There have been instances where companies have faced backlash for mishandling biometric data or using it without informed consent, highlighting the need for robust privacy protections and ethical guidelines governing its use. In an online article on Legal Dive, Lisa Burden states that over 2,000 lawsuits have been filed under Illinois’ Biometric Information Privacy Act (BIPA) since 2018. This serves as evidence that people perceive biometric technology is being misused against them. The potential misuse of this technology concerns me and make me wonder if safeguards are put in place by the companies to protect the collected data. Personally, I have not been directly affected by ethical issues related to biometrics and facial recognition, but I am aware of the broader societal implications of these technologies. As IT professionals, it is essential to consider the ethical implications of developing and deploying emerging technologies and to prioritize the protection of individuals' privacy rights and civil liberties. This may involve conducting thorough risk assessments, implementing privacy-enhancing technologies, and advocating for regulatory frameworks that promote responsible and ethical use of biometric and facial recognition technologies. Like many others, I have blindly consented to allowing my data to be used in order to access newer emerging technologies on my phone and online. Initially, my thought process was that I have nothing to hide since I am not engaging in any wrongdoing. However, recently I have reconsidered the permissions I grant and became more selective about the data that can be collected. References:

Almeida, D., Shmarko, K., & Lomas, E. (2022). The ethics of facial recognition technologies, surveillance, and accountability in an age of artificial intelligence: a comparative analysis of US, EU, and UK regulatory frameworks. AI and Ethics. https://link.springer.com/article/10.1007/s43681- 021-00077-w#Sec4 Burden, L. (2023). Companies hit with class actions under Illinois biometric data law. Legal Dive. https://www.legaldive.com/news/class-action-lawsuits- illinois-biometric-data-law-privacy-corporate-counsel-law-arent-fox-freeman/ 699258/ Laio, S. (2018). Chinese facial recognition system mistakes a face on a bus for a jaywalker. The Verge. https://www.theverge.com/2018/11/22/18107885/china-facial-recognition- mistaken-jaywalker Pogue, D. (2017). What really happened with Apple’s Face ID 'fail' onstage. Yahoo Finance. https://finance.yahoo.com/news/really-happened-apples-face- id-fail-onstage-181213050.html

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