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Business Management Review | Friday, October 27, 2023
The companies provide access to vast databases of images, which enable law enforcement agencies to identify individuals beyond the scope of government databases.
FREMONT, CA: Governments and private companies have a long history of collecting data from civilians, often at the expense of privacy, in the name of national security or societal benefits. It is crucial to recognize that the impact of surveillance and data collection is unevenly distributed. Management has disproportionately affected communities of color, historically and in current times. Surveillance patterns often reflect existing societal biases and contribute to harmful cycles. Modern technologies like facial recognition exacerbate discrimination, as law enforcement agencies make misinformed decisions that disproportionately affect marginalized populations.
Stronger federal privacy protections and proscriptive guardrails help to mitigate the risks associated with surveillance technologies. It emphasizes the need for federal agencies to address the purposes and uses of facial recognition and other monitoring tools under their jurisdiction. Increased training for state and local law enforcement agencies is necessary to prevent unfair or inaccurate profiling of people of color. Proposals for clear restrictions on surveillance technologies in specific contexts and implementing accountability and oversight mechanisms, including audits, policy interventions, and inclusive technical designs, are essential.
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Surveillance and over-surveillance of communities of color in the U.S. have deep historical roots. Government responses to protests have raised concerns about management focused on communities of color. Facial recognition technology (FRT) has become a widely used tool in law enforcement. Companies provide access to vast databases of images, enabling law enforcement agencies to identify individuals beyond government databases. Voluntary corporate moratoriums on selling facial recognition technology to law enforcement must be increased, as government agencies can still procure these technologies from other companies.
Data aggregators and private sector information play a significant role in surveillance, with government agencies accessing corporate data through various channels. Geolocation tracking, social media scanning, and store-bought surveillance devices further contribute to the expansion of surveillance. Facial recognition technology poses particular risks, especially for communities of color. Wrongful arrests based on erroneous matches and systemic inaccuracies have been reported—bias in facial recognition algorithms, with higher error rates for individuals with darker skin.
The need for more transparency and the selective disclosure of algorithm processes and results by companies further compound the accuracy issue. Efforts to improve algorithm accuracy and diversity of training datasets vary across facial recognition vendors, and industry-wide audits are not mandatory. There is a pressing need for stronger privacy protections, guardrails, and oversight mechanisms to address the risks associated with surveillance technologies. Surveillance disproportionately impacts communities, and concrete steps must be taken to protect personal privacy and prevent further discrimination.
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