Survey Paper on Ensuring Inclusive Data Driven Hiring Practices Across All Jobs

Survey Paper on Ensuring Inclusive Data Driven Hiring Practices Across All Jobs

Mr.Harshith Kashyap

Assistant Professor

Dept of Artificial Intelligence and Machine Learning Vidyavardhaka College of Engineering, Gokulum, Mysore

Hariprasad Guttedar, Shashank H M, N C Rugved, S N Vibudha Datta

BE Students

Dept of Artificial Intelligence and Machine Learning Vidyavardhaka College of Engineering, Gokulum, Mysore

Abstract- The need for inclusive hiring across sectors has increased with the rapidly increasing numbers of diverse and rapidly evolving process markets. The current paper considers data-driven methods toward fair and unbiased recruitment. In fact, the goal of ensuring a level playing field among all applicants, regardless of gender, ethnicity, or background, drives this research. We examine ways to include complex algorithms to reduce unconscious biases.

Bias, systems designed to anonymize applicant information, and instruments for developing inclusive job descriptions. We also evaluate data-driven tracking systems monitoring diversity metrics and areas for continuous improvement and innovative methodologies for the unbiased evaluation of governmental examination results. This paper synthesizes recent research and emerging solutions to focus attention on the importance of transparency, accountability, and inclusion in the hiring process.

Practices across public and personal sectors. in the long run, this look at seeks to encourage groups to enforce actionable techniques that mirror and assist the range of the groups they serve