Jobvite is committed to educating our customers, prospects, applicants, candidates, and the general market about our efforts in the artificial intelligence (AI) and machine learning (ML) space. The industry is moving in the direction of more automation driven by AI and ML, resulting in increased activity that is guided and/or executed based on pre-defined workflows and data models. This advancement will provide amazing productivity increases, allowing customers to create and build relationships with many more individuals in each phase of the sourcing, recruiting, hiring, and onboarding journey. Jobvite will still use the same communication mechanisms employed today, such as phone calls, email and text messages, and video conferencing, but much of the communication, screening, assessments and rankings will be powered by processes and data defined to maximize velocity, reduce time-to-fill, and improve the overall experience for both candidates and recruiters. To ensure effectiveness, validity, and fairness of these automated processes and AI/ML data models, it is critical to provide clarity to all individuals involved, so that we understand how and why decisions are being made. Jobvite is committed to exposing the logic behind these processes, for both explainability and accountability.
All parties have a right to know how their data is being used and interpreted. The descriptions below detail how Jobvite uses AI/ML algorithms within our platform. This document will be updated as new algorithms and data models are introduced.