
Automating tasks has been an industry goal for years, whether driven by necessity (to remain competitive and save human resources), or to achieve higher goals. However, when it comes to automating hiring, training artificial intelligence (AI) systems on past decisions will merely automate racial and cultural biases that have previously discriminated against older workers, people of color, women, people with disabilities, or other groups.
In other words, if the data inputs for design development are not diverse, then the model output will likely be biased.
AI, the configuration of computer systems to perform tasks that generally require human intelligence, is one of the most exciting technological advances, impacting all sectors of society, including but not limited to employment, health care, legal services, education, finance, national security, criminal justice, and transportation.