How can artificial intelligence be equitable? What makes it so biased now? The Badger Herald interviewed Jerry Zhu, professor of Computer Sciences at UW–Madison to discuss his interdisciplinary AI project with the sociology department.
The hiring process is increasingly reliant on online resources to recruit and screen potential candidates. However, when artificial intelligence draws upon biased data that exacerbate gender inequalities in the workforce, it can lead to biased hiring decisions. So how can we fix this? Zhu says that you can manipulate AI to be more resistant to biases, previewing a bright future for equity in the hiring process.
To learn more about the impact of AI on the hiring process and how it disproportionately impacts minority groups, read the full article here.