Explainable AI in HRTech: Building Transparent Skill Matching Engines for Fair Hiring
The integration of artificial intelligence (AI) in human resources technology (HRTech) is rapidly transforming how companies attract, evaluate, and hire talent. One of the most significant applications of AI in HRTech is in skill matching engines, which analyze candidate data to identify the best fit for job roles. However, as AI takes on more responsibility in the hiring process, questions about fairness, bias, and transparency have come to the forefront. This is where explainable AI in HRTech becomes critical. Explainable AI (XAI) aims to make AI-driven decisions understandable to humans, ensuring that both employers and candidates trust the systems influencing life-changing decisions such as hiring. The Need for Explainable AI in HRTech Skill matching engines powered by AI typically use machine learning models to analyze vast amounts of data from resumes, job descriptions, assessments, and more. These models predict the best candidates for roles based on learned patterns. While ...