Reading Annotation Blog 3.4
In “Race After Technology” Benjamin Ruha discusses issues involving racial biases. One point that he focuses on is racial and gender biases in the job market and the fact that some companies are trying to implement technology that sorts through applicants to narrow down the applicant pool to those who would be more fitting for the job. This still has issues because we're depending on an AI to decide if a person is a good fit for a job rather than letting that person show that they are qualified. Ruha talks about a specific company, "A company called HireVue aims to "reduce unconscious bias and promote diversity" in the workplace by using an AI-powered program than analyzes recorded interviews of prospective employees. It uses thousands of data points, including verbal and nonverbal cues such as facial expression, posture, and vocal tone, and compares job seekers' scores to those of existing top-performing employees in order to decide whom to flag as a desirable hire and whom to reject." The hiring process is very impersonal when I was looking for a first job most businesses were moving to online applications so many of the applications I filled out were digital and had personality tests attached to them these tests took about an hour to complete and a majority of the time told me my personality didn't match what they were looking for. These businesses know nothing about me except for the answers I provided to an obscure poorly written online test that determines whether your personality fits the correct criteria. It's safe to say I didn’t get any callbacks for any of those applications. There have been many studies done to test for racial bias in the job market many of which put in fake applications two with similar credentials but names that would be suspected of a specific race. Most of these studies showed that the applicants with names that would be considered African American got fewer callbacks than those with names that would be viewed as white people.
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