FAIR ADMISSIONS, FAIR DECISIONS, AND FAIR OUTCOMES: AN ANALYSIS OF ALGORITHMIC BIAS IN EDUCATION, EMPLOYMENT, HEALTHCARE, AND HOUSING
Artificial Intelligence (“AI”) has surged in popularity over recent years, especially in its accessibility to the public. Increased productivity and the automation of simple tasks has clearly displayed the benefits of AI in everyday life. However, AI has several drawbacks. Since AI algorithms are written by humans, they are influenced by the qualities that humans prioritize, either intentionally or unintentionally. This Article argues that AI shares similarities with other systems built by humans, as it is susceptible to the implantation of bias and heavily influenced by the system’s creators. Furthermore, this Article considers examples of this discrimination in systems that utilize AI. Finally, this Article analyzes existing legislation to provide a regulatory framework that prevents the implantation of bias into algorithms, which could lead to widespread discrimination.
Author: McLean Waters
PDF: http://journals.law.unc.edu\/ncjolt/wp-content/uploads/sites/4/2024/04/Waters-Final.pdf
Volume 25, Issue 4