The AI enabled facial recognition application once a darling of Silicon Valley as software for authenticating identities, policing and spying, is suddenly under great controversy. San Francisco, Oakland, Berkeley and Somerville, Mass., have banded all of their agencies, including the department of police, from using it. Stopping the use of such technology is become necessity for protecting civil rights and privacy. But only limiting the use in government agencies won’t be adequate. Facial recognition technology should be banned in both public and private sectors, before it become necessity for “progress.” Perhaps over time appropriate policies can be enacted that justify lifting a ban. Other than clearly malicious technologies like spyware, the United States has banned very few technologies, even those used in warfare.
The problems associated with this technology is becoming more apparent. The majority of citizen of U.S. have, for all practical purposes, been put in a continuous police lineup because they have requested a driving license: Their D.M.V. images are turned into faceprints for tracking purposes in all government departments with few limits.
The benefits of the technology is obvious in Law enforcement, find missing people, catching criminals and prevent crimes. The technology also helps in the creation of better security features in the use of smart phones, banking, airport services and many more. A group of professionals are in favor of regulating facial recognition technology instead of banning it. Lawmakers should create suitable laws for commercial and governmental using to heighten transparency and accountability. Many professionals think that even such laws can’t stop the misuse of the technology, big companies will use the technology to identify and track their employees. And then use the technology to categorize their employee’s emotions and actions, which can be further used to control and manipulate, or deprive employees from suitable opportunities.
Placing limitations on specific technologies is creating a new area of research to better understand the correct and most productive use of restrictions. This understanding in turn could be used to improve the emotional intelligence of machines.
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