Thus lowering the overall cost of running Human Resource Management department.ĪI and Machine Learning can help Dropbox to make its internal systems more meritocratic and help individual to better understand their job profiles and what is expected of them. What Dropbox can Achieve using AI in Human Resource ManagementĪI can help Dropbox to predict, understand, evaluate, and match people at scale.

These data driven tools can help Dropbox to reduce prevalent prejudice in the hiring process, remove interviewer’s biases, and help in reducing discrimination at all level. We at Oak Spring University believe that predictive analytics and assessments tools are underutilized at both organization level and industry level. Management consultants in the Software & Programming industry calls them – bullshit jobs, where people find no value other and responsibilities that leave a vacuum inside. This mismatch in modern day organizations is resulting into many people ending up in positions and jobs that are at best un-inspiring. With the advancements of Machine Learning and Artificial Intelligence, the next big question in the field of Human Resource Management is – Should Dropbox use algorithm to hire employees?ĭropbox like most of the other companies in the Software & Programming industry is struggling for talent identification.ĭropbox is finding it hard to find right people that match both - the vision of the organization and the right attributes needed to be successful at the jobs especially at the highly skills oriented top level positions. Why Dropbox Needs to Use AI in Hiring Process

Introduction to Human Process and Artificial Intelligence

Dropbox careers human resources