Technological Workforce and Its Impact on Algorithmic Justice in Politics

Jerome D. Williams (), David Lopez (), Patrick Shafto () and Kyungwon Lee ()
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Jerome D. Williams: Rutgers-The State University of New Jersey
David Lopez: Rutgers-The State University of New Jersey
Patrick Shafto: Rutgers-The State University of New Jersey
Kyungwon Lee: University of Michigan-Dearborn

Customer Needs and Solutions, 2019, vol. 6, issue 3, No 7, 84-91

Abstract: Abstract The use of algorithms can be highly beneficial and efficient to make statistical decisions in settings where data are voluminous. However, there are on-going concerns about the potential long-term negative consequences of the use of algorithms due to inherent biases against certain subgroups of the population which tend to be under-represented in the society. To address this issue, we propose that it is critical to develop ways to bring the technological capabilities that underlie these advances to the broadest group of people by focusing on the nature of workforce in the tech industry. Particularly, we propose that having a diverse workforce in the tech industry and inter-disciplinary education, including principles of ethical coding, can be a starting point to resolve this issue. Politicians, regulators, and educational institutions must be prepared to address these issues in order to set a system that works equally for all people in a democratic society.

Keywords: Algorithmic justice; Big data; Tech industry; Diverse workforce; Political impact (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s40547-019-00103-3

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