Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/27161
Title: Artificial intelligence adoption at workplaces: reinventing human resource management with AI
Authors: Kumar, Puneet
Bansal, Divyam
Keywords: Artificial Intelligence (AI) in HRM;Recruitment Automation;Performance Management Using AI
Issue Date: 2022
Publisher: Indian Institute of Management Ahmedabad
Abstract: We were fascinated to observe how technology has found its way in traditional organizational functions like HRM. Artificial Intelligence, particularly, is increasingly being deployed in HRM to improve and streamline various HR processes. AI has the potential to revolutionize and transform HRM by automating tasks, data-based decision-making, and providing data driven insights and recommendations. Here are some examples of how AI is being used in HRM: 1. Recruitment and Training: AI can be used in automating the recruitment process. Resume Screening, Preparation of Job Description, Conducting initial interviews, Psychometric assessment are some of the areas where AI can be effectively deployed. 2. Employee Onboarding: AI can assist in employee onboarding by providing personalized and targeted training and development plans based on the employee's skills and qualifications and the job profile. AI can also automate routine tasks, such as setting up employee accounts and scheduling training sessions. 3. Performance Management: AI can help improve the performance management process by providing data driven insights to the managers through analysing employee performance data. It can also provide real-time feedback to employees and suggest improvement areas. 4. Employee Engagement: Personalized recommendations for career development can be provided and training opportunities identified based on the employee's interests and career goals. This will increase the level of employee engagement in the organization. Surveys can be conducted to take and analyze employee feedback to identify areas for improvement in the work culture of the organisation. 5. Diversity and Inclusion: AI would promote diversity and inclusion by removing bias from the recruitment and selection process. 7 6. Employee Retention: Employee attrition can be minimized by analysing employee data and identifying factors that contribute to employee turnover. Providing personalized recommendations for development and career progression would enhance job satisfaction thereby reducing attrition. We strongly believe that the power of AI can be harnessed specially in the recruitment process of the organization. AI Bots can be deployed in the recruitment process to eliminate the bias and subjectiveness that might crop up in the interview. Through this study, we aim to understand the scope of deploying an AI Bot both as an interviewer and as an interviewee. We want to evaluate how much trust candidates would place on the interviewer if it was an AI Bot instead of an Human Being. We also want to see if Human Beings would be receptive to the idea of deploying an AI Bot to work under them in the organization, replacing the traditional roles which were usually performed by the humans.
URI: http://hdl.handle.net/11718/27161
Appears in Collections:Student Projects

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