The HR department is formed by organizations to handle hiring, compensation, performance management, retention and more. AI is not a sci-fi concept anymore. It is here and moving towards the Human Resources field, thanks to its myriad benefits in the data analysis sector. Let us find out how AI is transforming the HR administration.
Development and learning
Most of the time, learning and skill programs are led by HR executives and managers. Training the applicants to require workforce and money, which significantly adds up over time. AI can be used by employees to improve their skills without the intervention of other employees. The online-based programs will help HR to reduce their operational costs due to the absence of a human employee, much like how the online casino games at any great britain casino operating without a real dealer.
Recruitment
Every HR has to go through a lot of effort to shortlist applicants. After that, HR has to review their resumes and push the candidates through the following processes like preparing the reporting reminders and scheduling interviews. With the help of AI, these administrative tasks can be automated which will not only make the recruitment process faster but more convenient.
Through AI, HRs will be able to offer timely delivery of critical information with more efficiency. What’s more, the AIs will be able to eliminate unwanted human biases from shortlisted applicants. Moreover, the AIs will be able to provide AI-backed programs for onboarding applicants. With its implementation, HRs won't have to provide hire information, organizational hierarchy and other job details. The AI will do the job automatically for the applicants.
Assist in repetitive tasks
HRs have to spend a lot of time on repetitive tasks which takes a lot of effort as well as time. For example, there are many repetitive questions that employees ask regarding company policies, appraisals, leaves, reimbursements and more. AI-powered tools can easily accomplish this by making a helpdesk for employees allowing them to post their grievances to receive automatic answers.
With the help of AI, HRs won't have to spend their time on routine administrative tasks. One of the most challenging tasks in the role of HR is physical presence and confronting employees and managers. These regular low-value tasks can be automated with the help of AI, allowing them to focus on strategic and productive works that need a better interpersonal approach.
Retaining employees
Employee retention is an essential job of HRs. Every year companies spend significant resources to retain their good employees. AI can be useful in this situation as it can analyse and gather data which can indicate that an employee is already under the process of leaving the company. In the future, AI bots will be able to check through the documents, messages, emails and search history of employees to analyse unusual and anomalous behaviours which may indicate that the employee is planning on leaving the company. It can detect word choices, linguistic cues or change of voices. Although many may argue that this is an invasion of privacy, in the future HRs might come up with a mutual solution to continue assessing their employees.
Current conditions and future work
To enhance the core HR processes, a number of organizations are experimenting with machine learning and artificial intelligence. The processes include increasing compliance, measuring employee engagement, personalising training, gamifying, automating the on-boarding process, assessing candidate suitability and conducting automated interviews. A number of renowned companies have already developed state of the art HR tech solutions to offer customised products and tools for the growing marketplace. In the last couple of years, a number of tools such as chatbots. AI recruitment and intelligent learning platforms have been developed to revitalise the functions of HR and help them manage the organizational workforce more effectively.
In the future, we can expect the consolidation and integration of NLP (Natural Language Processing) along with AI-driven technologies which will improve data analysis significantly allowing organizations to harness the potential of this technology.
