Recruitment Process using Federated AI: An Unbiased Approach

Abstract

Artificial Intelligence is changing almost all aspect of one’s life, directly or indirectly. Those who have nothing to do with computer science or its applications, cannot say that they are not at all affected by AI. Employment is something that affects everyone’s life. AI is transforming the recruitment process significantly. For recruiters it is a big challenge to hire people who are most suitable for the positions they are being hired. Those being hired not just have to have the required skill set but also should be fit in the organization in all respect. They should be academically, technically and socially fit for the organization. Profile screening of the aspirants is vital in this regard. The most important aspect of such profiling and screening process is that it should be free from all biases and prejudices.  AI technologies such as ML and FL are providing ground breaking breakthroughs. FL is especially being playing a significant role in the profiling process. After recruitment also AI is playing a critical role in workforce management. Application of technology is improving efficiency of both the recruiters as well the workforce. This paper presents an overview of AI techniques such as ML and FL on the recruitment process and workforce management. This paper also tries to assess the impact of this un-bias approach on the overall efficiency of the organization as well as of its workforce.