How can AI/ML help improve Candidate Experience without compromising on Business Impact?

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.

• Problem Statement
• Quantification of Problems
• Approach
• Points to Consider.

• 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.