In 2018, research reports from the ACLU emerged indicating that Amazon’s facial recognition technology had reportedly “confused” the faces of 28 congressmen with the faces of known criminals. Let’s unpack that statement. First, Amazon has been developing facial recognition technology, called Rekognition, which can provide “highly accurate facial analysis and facial recognition on images and video.” In 2018, Amazon was actively making movements towards selling this technological tool to law enforcement. The ACLU, among other organizations and individuals, were concerned with the implications of utilizing such technology. In turn, the ACLU conducted its own study employing Rekognition facial technology. Their research uncovered that Rekognition technology was not as accurate of a facial recognition tool as had been perceived, and resulted in a large number of mismatched faces. Most importantly, the ACLU reported that Rekognition disproportionately misidentified faces of people of color- as highlighted by the 28 faces of congressmen that were misidentified as being the faces of known criminals. While Amazon and the ACLU debated over these results, the findings published by the ACLU point towards a bigger issue- in what ways are racial biases manifesting themselves in facial recognition technology and how can this cause harm to communities of color?