Recruitment phase

AI technology

AI function

Reference

Workforce planning (pre-planning)

AI-based workforce predictions and forecasting tools

Predicting retention rates, turnover rates

(Guenole & Feinzig, 2018)

Predicting resource requirements based on the organization’s strategic forecasts

AI-based financial forecasts

Cost-benefit prediction of the RSP function

(Guenole & Feinzig, 2018)

Sourcing

Natural language processing

Job description generation and job campaigns

(Coombs et al., 2021)

Prescreening

AI algorithmic prescreening

Prescreening candidates from resumes

(Yin et al., 2018)

Selection/Interviews

AI-based automated tests, assessments

Conducting tests, exams, preliminary assessments, simulated tests, case study-based tests

(Coombs et al., 2021)

AI-based interviews

Conducting face-to-face interviews using AI technologies like HireVue, Amelia

(Suen & Hon 2019)

Candidate engages and communication

Automated candidate engagement tools such as automated emails, status updates, chatbots

Increase candidate experience. Updating the status of the candidature, Communicating the feedback of the interview

(Guenole & Feinzig, 2018; Allal-Chérif et al., 2021; Leong, 2018; Savola & Troqe, 2019)

AI-based virtual assistants

Scheduling interviews between candidates and interviewers

(Allal-Chérif et al., 2021; Zhou et al., 2019)

Generating assessment reports after interviews

(Suen & Hon, 2019)

Background and reference checks

(Allal-Chérif et al., 2021)