Algorithmic Bias: A New Age of Racism

Abstract

This paper surveyed multiple manifestations of algorithm bias in different areas and highlighted the impact of incorporated bias. Facial recognition technology is used for a range of purposes, including photo tagging, identifying suspects and even autonomous vehicles. Risk assessment instruments are used throughout the criminal justice process to determine decisions such as length of sentencing and probation. Health care algorithms are used to distinguish sicker individuals to offer additional care and resources. The studies shown in this paper suggest that there are biases embedded in each of these algorithms. Because of their wide scope, racism has been reinforced on a massive scale. Algorithms are intended to make life easier, but these types of algorithms are concerning because they amplify systemic racism. Society should question how much we should rely on such technology until better solutions are found and regulations are put into place.