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  • Writer's pictureAlfio Bonanno

AI and Machine Learning: Revolutionising HR for the Future

The world of Human Resources (HR) is on the brink of a significant transformation, driven by the rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML). These technologies are set to revolutionise HR, making it more efficient, data-driven, and employee-centric. This article explores the potential impact of AI and ML on HR, drawing on recent insights from 2023.

AI and ML in HR: A New Era of Efficiency and Fairness

AI and ML are increasingly being integrated into HR processes, with a particular focus on recruitment and hiring. According to a Forbes article, the Equal Employment Opportunity Commission (EEOC) and the Federal Trade Commission (FTC) have been active in providing guidance on the responsible use of AI in employment contexts. AI technologies can offer recommended guardrails for employers, ensuring that their hiring and workforce management systems are fair and non-discriminatory.

Keeping the 'Human' in Human Resources

While AI and ML can automate many HR tasks, it's crucial to maintain a human touch in HR processes. The World Economic Forum suggests that AI-based tools can add value to HR, but human intervention remains essential. AI can help automate repetitive tasks, track candidates, and even assess technical skills, but the human element is still necessary for interpreting results, making final decisions, and maintaining a personal connection with employees.

Disrupting the HR Tech Landscape

Josh Bersin, a renowned HR tech analyst, suggests that AI is set to disrupt the HR tech marketplace. AI-centric systems are being developed with a completely different architecture, user interface, and design. These systems will not only be intelligent by design but will also have powerful conversational user interfaces and embedded multiple AI models. This new era of HR tech will be more useful, more important, and more integrated than ever before.

AI: A Tool for Better Employee Engagement

AI can also play a significant role in improving employee engagement. According to a Forbes Tech Council article, AI can help employers understand what's causing an employee to leave, thereby enabling them to address these issues proactively. AI-based employee engagement tools can collect data and identify trends of dissatisfaction or needs expressed by the employee base, helping HR teams deploy data-driven initiatives that focus on employee morale.

Exciting Applications of AI in HR

AI is finding its way into various HR functions, from automating repetitive tasks to improving decision-making. AI can help HR teams become more informed and efficient, reduce bias in recruitment, and enhance the employee experience. AI can also help manage employee benefits, making the process more efficient and personalized.

Areas in HR Benefiting from AI and Machine Learning

AI and ML are not just transforming HR in general; they are making significant impacts in specific areas of HR. Here are some of the key areas that are benefiting from these technologies:

  • HR Analytics: HR analytics is a must for any large company. The first application of AI is advanced analytics, enabling companies to have instant access to insights. However, HR analytics comes with its challenges. AI can help tackle these challenges by providing off-the-shelf data science tools or working with HR analytics vendors who can set up advanced analytics systems for your organization.

  • Operational HR Activities: Operational HR activities like compensation and benefits will be almost entirely automated thanks to digitization. Where legacy systems prevent full digitization, Robotic Process Automation (RPA) bots will take over repetitive human jobs and digitize processes.

  • Data-Driven Hiring: Hiring is essentially a search problem. AI systems use online data combined with data presented in the CV to create a holistic profile of the applicant. This helps in filtering CVs to minimize manual effort and reduce bias in the recruitment process.

  • Candidate Engagement: Engaging candidates is time-consuming. However, AI-powered recruiting chatbots can send customized automated messages to ensure that employees are informed at the right times, minimizing unnecessary anxiety and ensuring that qualified candidates remain engaged.

  • Employee Training: According to Oracle's future workplace report, 64% of employees reported they would trust a robot over their manager for advice. Deploying an AI virtual mentor can provide personalized assistance throughout training by having access to all enterprise files and policies, which can provide quick answers to employee queries.

  • Employee Turnover Prediction: Once candidates are hired and trained, they become a valuable resource, and turnover becomes a concern. AI can help identify employees who are likely to leave, allowing HR managers to take proactive measures to retain them.

In conclusion, AI and ML are set to revolutionise HR, making it more efficient, data-driven, and employee-centric. As these technologies continue to evolve, HR professionals must stay abreast of the latest developments and learn to leverage these tools effectively to enhance their HR practices.

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