For your 2nd post, provide additional support for or against the ethical issue(s) raised by another student based on research from a reliable source. Please be respectful when providing a contrary point.
Adam Guerra
Facial Recognition: Discriminatory?
COLLAPSE
Write a paper According to Dharaiya (2020), facial recognition had its beginnings back in the 1960s. The author describes a very manual process at the time that evolved in the 1970s to use 21 face markers. Another level-up came in 1988 when algebra started being used; this step is the one that opened the door to automatic face recognition in 1991, explains Dharaiya (2020). In the decade 2010, Dharaiya (2020) hints at 2010 as the decade of the Facial Recognition boom: Facebook began suggesting tagging people as it recognized them within the user’s pool of contacts, and the Government began using the technology for law enforcement and military means.
Facial recognition technology, even though significantly advanced since its conception in the 1960s is still failing our community in a field battling for justice for decades: Racism. According to Waelen (2022), the technology’s accuracy among young black females is “significantly lower than other demographics” (p 4). This inaccuracy carries critical high risks, for example, a misidentified person being accused of a crime in which he or she was not a part-taker. The claws of facial recognition reach old topics like law and order as well as significantly modern dilemmas. Waelen (2022) furthers our thoughts on people’s emotional and psychological impact that facial recognition technology will cause when it fails an accurate identification. For example, non-binary people facing a newly designed binary system and technology, and black people fighting society for equality and now a new technology with the risk of making things more difficult.
References
Dharaiya, D. (2020). History of Facial Recognition Technology and its Bright Future. Newstex.
Waelen, R. A. (2022). The struggle for recognition in the age of facial recognition technology. AI and Ethics. https://doi.org/10.1007/s43681-022-00146-8
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