We can build AI/ML-based approaches to recruiting that can improve recruiter efficiency, reduce early attrition.
But how do we balance the efficacy with Ethics? How can we leverage AI/ML responsibly that improves Candidate experience but does not compromise on Business impact?
Challenges:
Mismatched Job fit
Candidate Experience
Early Attrition
Quality of Hire.
This session will explore:
Problem Statement
Quantification of Problems
Approach
Points to Consider.
Learning outcomes:
A path to leverage AI/ML in Talent Acquisition
An ethical approach to solving for Candidate Experience
Improve recruiter efficiency, manager satisfaction, and quality of hire.
