Development of Framework for ACI-Powered Human Resource Recruitment Assistant

The landscape of human resource management within large enterprises necessitates efficient and unbiased recruitment practices to ensure organisational effectiveness and foster diversity(Ayoko& Fujimoto, 2023). Traditional hiring processes often create biases, which cause additional challenges in achieving proper objectives (Bogen, 2021). According to Workable(workable.com), the average time to fill a job requisition is 41 days (Howden, 2023). This paper proposes a framework for the development and implementation of an Artificially Capable Intelligent (ACI)-powered Human Resource (HR) Assistant for large enterprises (possibly more than 300 employees) to eliminate these unnecessary challenges caused by biases in hiring practices, therefore directly addressing fair and just participation in society and the world of work. The framework integrates ACI technologies, particularly candidate identification, to revolutionise HR practices. By leveraging ACI algorithms, the proposed hyper-realistic assistant aims to revolutionise the recruitment process. It will significantly reduce the average time to fill job requisitions. Moreover, the ACI-powered system is designed to mitigate biases inherent in traditional hiring practices, thus fostering a fair and inclusive environment for all candidates in the shortest possible time frame. This paper includes the key components and working processes of the ACI-powered HR Assistant framework. Through a comprehensive theoretical analysis, the paper investigates the system’s working process and how the framework aligns with the goal of promoting a fair and participatory environment in the world of work. Ultimately, the proposed framework represents a main step towards enhancing organisational effectiveness, fostering diversity, and advancing equitable recruitment practices in the futuristic workplace.